11 Research Assistant jobs in Bahrain
AI Research Assistant (Remote)
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The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. A strong foundation in machine learning, deep learning, natural language processing, or computer vision is essential. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras are required. Excellent analytical and problem-solving skills, coupled with the ability to think critically and creatively, are crucial. As this is a remote role, you must be a highly disciplined and organized individual with excellent communication and collaboration skills, capable of working effectively in a virtual team environment. Experience with cloud platforms (AWS, Azure, GCP) and a passion for pushing the boundaries of AI research are highly desirable. You will have the opportunity to work on impactful projects that could shape the future of technology. If you are passionate about AI and eager to contribute to groundbreaking research in a flexible, remote setting, we encourage you to apply. Join us in shaping the future of intelligent systems.
Remote Graduate Research Assistant - AI Ethics
Posted 2 days ago
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Responsibilities:
- Conduct in-depth literature reviews on AI ethics topics.
- Assist in designing and executing research studies on AI fairness and bias.
- Collect and analyze qualitative and quantitative data related to AI ethics.
- Contribute to the writing of research papers, reports, and presentations.
- Collaborate with senior researchers on project development and execution.
- Organize and manage research data and documentation.
- Participate in virtual team meetings and discussions.
- Stay abreast of current developments in AI ethics research.
- Currently pursuing a Master's or Ph.D. degree in Computer Science, Philosophy, Ethics, Sociology, Law, or a related field.
- Strong interest in Artificial Intelligence and its ethical implications.
- Excellent research, analytical, and critical thinking skills.
- Proficiency in academic writing and literature synthesis.
- Experience with data collection and analysis techniques is a plus.
- Familiarity with research methodologies and statistical software is beneficial.
- Ability to work independently and manage time effectively in a remote setting.
- Strong communication and collaboration skills for virtual teamwork.
Remote Graduate Research Assistant - AI Ethics
Posted 2 days ago
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Job Description
- Conducting comprehensive literature reviews on AI ethics topics.
- Assisting in the design and execution of research studies.
- Collecting and analyzing qualitative and quantitative data.
- Developing research proposals and assisting in grant writing.
- Contributing to the drafting of research papers, articles, and presentations.
- Collaborating with research team members on ongoing projects.
- Maintaining accurate research records and documentation.
- Presenting research findings to the team and stakeholders.
- Staying informed about current trends and advancements in AI ethics.
- Assisting with administrative tasks related to research projects.
Graduate Research Assistant - AI & Machine Learning
Posted 2 days ago
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Key Responsibilities:
- Conduct literature reviews and stay abreast of the latest advancements in AI and Machine Learning.
- Assist in the design, implementation, and evaluation of machine learning models and algorithms.
- Process and analyze large datasets for model training and validation.
- Develop and maintain code for AI research projects, primarily using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Collaborate with senior researchers on experimental design and data collection.
- Document research findings, methodologies, and results thoroughly.
- Contribute to the preparation of research papers and presentations for conferences and publications.
- Participate in regular virtual team meetings and discussions to share progress and insights.
- Troubleshoot and resolve technical challenges in research implementation.
Qualifications:
- Currently pursuing or recently completed a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field.
- Strong foundational knowledge of machine learning concepts, algorithms, and statistical modeling.
- Proficiency in Python programming and experience with major ML libraries/frameworks.
- Experience with data manipulation and analysis tools.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts.
- Ability to work independently, manage time effectively, and contribute productively in a remote research environment.
- Eagerness to learn and adapt to new technologies and research directions.
This internship is an ideal stepping stone for individuals passionate about AI research and eager to gain practical experience in a leading research setting. If you are a motivated graduate student looking to make a significant impact in the field of artificial intelligence, we encourage you to apply. Join our client's innovative research community and contribute to shaping the future of AI, regardless of your physical location, while supporting projects relevant to the Isa Town, Southern, BH region.
Graduate Trainee - Data Analysis
Posted today
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Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
- Create data visualizations, charts, and dashboards to communicate findings effectively.
- Support senior analysts in developing reports and presentations for stakeholders.
- Learn and apply data manipulation techniques using software like Excel, SQL, or Python.
- Participate in team meetings to discuss project progress and share findings.
- Contribute to the development of data models and analytical frameworks.
- Help in identifying data quality issues and recommend solutions.
- Gain exposure to business intelligence tools and their application.
- Assist in testing and validating data outputs.
- Follow established data governance and security protocols.
- Engage in learning activities and training sessions to enhance data analysis skills.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Basic understanding of statistical concepts and methods.
- Familiarity with at least one programming language (e.g., Python, R) or database query language (e.g., SQL) is a strong plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team in a hybrid environment.
- Eagerness to learn and a proactive attitude towards acquiring new skills.
- Must be eligible to work in the specified location.
- Enthusiasm for data and its potential to drive business decisions.
Graduate Programme - Data Analysis
Posted 1 day ago
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Responsibilities include assisting with data extraction from various sources, performing exploratory data analysis, generating reports and dashboards, and contributing to data-driven insights for business decision-making. You will have the opportunity to work on diverse projects across different industries, applying your analytical skills to real-world challenges. The ideal candidate will possess a strong academic background with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) and familiarity with SQL are essential.
We are looking for individuals with excellent analytical and problem-solving abilities, a keen attention to detail, and a strong desire to learn. Good communication skills are necessary to present findings and collaborate with team members. This program offers excellent mentorship, opportunities for professional development, and a pathway to a full-time Data Analyst position upon successful completion. Join a forward-thinking company at the forefront of data innovation. This role requires full-time commitment at our offices in Busaiteen, Muharraq, BH .
Graduate Trainee - Data Analysis
Posted 2 days ago
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- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Developing and implementing statistical models and algorithms for data analysis.
- Creating clear and compelling data visualizations to communicate findings to stakeholders.
- Supporting senior analysts in developing reports and dashboards.
- Learning and applying various data analysis tools and techniques.
- Collaborating with cross-functional teams to understand data requirements and project goals.
- Contributing to data quality assurance and validation processes.
- Assisting in the documentation of data analysis methodologies and findings.
- Participating in team meetings and contributing to project discussions.
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Junior Graduate Trainee - Data Analysis
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- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Familiarity with programming languages such as Python or R is a plus.
- Basic knowledge of SQL and database concepts is advantageous.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively both independently and as part of a team.
- High level of attention to detail and accuracy.
- Proactive and results-oriented attitude.
- Prior internship or project experience in data analysis is beneficial but not mandatory.
Geologist - Remote Sensing & Data Analysis (Remote)
Posted 1 day ago
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Responsibilities:
- Acquire, process, and analyze remote sensing data (satellite imagery, aerial photos).
- Interpret spectral and spatial characteristics of geological features.
- Develop and apply GIS and remote sensing methodologies for geological mapping.
- Conduct data fusion with geophysical and geochemical datasets.
- Assess geological formations, mineral potential, and environmental impacts.
- Utilize programming languages for data analysis and automation.
- Generate geological maps and interpret subsurface structures.
- Prepare technical reports and present findings to project teams.
- Collaborate with geoscientists and engineers remotely.
Senior Geologist - Remote Sensing and Data Analysis
Posted today
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Your duties will encompass:
- Interpreting satellite imagery, aerial photography, and other remote sensing data for geological mapping and target identification.
- Utilizing GIS and specialized software to process, analyze, and visualize geological datasets.
- Developing and implementing geological models based on integrated data sources, including geophysical and geochemical information.
- Assessing the economic viability of prospective mineral deposits based on geological and remote sensing data.
- Collaborating with exploration teams to plan and prioritize field work.
- Preparing detailed geological reports, presentations, and recommendations for exploration strategy.
- Staying current with the latest advancements in remote sensing technology and geological interpretation techniques.
- Mentoring junior geologists and contributing to knowledge sharing within the team.
The ideal candidate will hold a Master's or Ph.D. in Geology or a related field, with a strong emphasis on remote sensing and data analysis. A minimum of 7 years of relevant experience in mineral exploration is required. Proficiency in software such as ERDAS Imagine, ENVI, ArcGIS, and geological modeling packages is essential. Excellent analytical, problem-solving, and communication skills are a must.