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, probability, and statistical learning. You must also be proficient in Python and speak English. You have a PhD or equivalent degree and are able to work in a team, communicate effectively, and write clear
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and to work alongside other research assistants and established academic leaders. Work Plans The work plan for the study is based on the steps needed to create statistical models to identify and address
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experienced by people living with HIV (PLHIV). This position offers an opportunity to contribute to innovative, policy-relevant research at the intersection of epidemiology, social sciences, statistics, and
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with an interest in applying advanced methods to questions in neuropsychiatric research. The candidate must have: A PhD in neuroscience, neuroimaging, medicine, computational science, physics, statistics
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Starting Date 15 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number #JOB5/2026 Is the Job related to staff position within a Research
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- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
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-dimensional systems , Quantum Transport in topological phases , Solid State Physics , spin-orbit coupling , Statistical Mechanics , Statistical physics , Strongly corelated systems , Superconductivity
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Carolina 27708, United States of America [map ] Subject Areas: Sociology Political Science Statistics / Statistical Science Appl Deadline: 2026/04/01 04:59 AM UnitedKingdomTime (posted 2026/01/07 05:00 AM
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation
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motivated Postdoctoral Scholar to join a dynamic cardiovascular translational research program focused on mechanisms of atrial fibrillation, cardiometabolic disease, and precision medicine approaches