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examining the intersection of environmental challenges and the just transition. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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, statistics, chemistry or a related area, with extensive research experience and a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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at the University of California, San Francisco is dedicated to building strong, research-focused clinical programs across the department. In support of this goal, the department is committed to recruiting exceptional
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Doctoral Researcher (PhD position) in Epidemiological Neurophysiology using Transcranial Magnetic Stimulation Part-time 65% limited for 3 years Klinik & Poliklinik für Neurologie Our goals
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, economics, engineering, statistics, or computer science. They will possess programming skills in at least one language, with experience in MATLAB and STATA considered desirable but not essential. Strong
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proximity extension assay (PEA) Assistance with sample handling during autopsies Compilation, visualization, and correlation analysis of data, as well as statistical analyses using R Qualifications
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bioinformatician with a PhD or equivalent experience to join our dynamic research team at the Life Arc Centre for Rare Mitochondrial Diseases https://www.lifearc.org/project/lifearc-translational-centres-for-rare
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plan in collaboration with PhD supervisors Achieve ethical and governance approvals to undertake research Achieve publication of research in appropriate peer reviewed journals Present research