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interdisciplinary team of social scientists, supported by a dedicated group of research assistants. Projects at GAI combine rigorous empirical methods with real-world relevance, offering opportunities to produce
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broader mixed-methods evaluation framework • Support capacity-building efforts for local field teams and partners in evaluation design and data collection Requirements • Master’s degree or PhD in Public
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-method research. Experience working in interdisciplinary teams. Excellent written and verbal communication skills. We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual
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energy-related systems such as lithium-ion and lithium-metal batteries. Familiarity with high-throughput simulation workflows and materials discovery pipelines. Demonstrated ability to design and fabricate
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field preferred. At least 5 years of relevant experience working in a psychological or education related laboratory or teaching research methods and statistics to Psychology students at the undergraduate
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report
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. Independently carry out the design and execution of experimental research required by the research component of the project. Write and review research papers, present research outcomes, conceptualise new ideas
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills