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high-ranking journals and university presses Strong command of qualitative and/or quantitative comparative methods Field work experience in the MENA Fluency in English Fluency in at least one language of
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(m/f/d) in Bioinformatics. Project overview This position offers an exciting opportunity to develop machine learning methods that reveal how biological function is encoded across different kinds
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, biochemistry, biology, or a related field - sound knowledge of bacterial genetics and molecular biology - experience with protein biochemical methods - experience with fluorescence microscopy and
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collaborative learning and how these processes can be automatically assessed and supported using multimodal data and AI-based methods. The postdoctoral researcher will play a leading scientific role in
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applicant will hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods
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. Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). Ability to independently learn
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RPTU University Kaiserslautern-Landau | Kaiserslautern, Rheinland Pfalz | Germany | about 2 months ago
systems. We are particularly interested in candidates with strong expertise in • Numerical methods such as MPS/DMRG, and/or • Analytical field-theoretical approaches including bosonization. However, we
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-7-8 breathing) to test causal roles of autonomic activity on emotion, brain, and cognition; (3) advancing brainstem imaging methods; and (4) understanding brain mechanisms of emotion–cognition
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bioinformatics is conducted at MiNu. An expansion of methods toward biophysics or other disciplines is welcome, as long as the research is relevant to MiNu Conducting collaborative research in a multidisciplinary
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with a comparative or cross-border approach, on Europe in its relation to the wider world, on topics of intellectual and religious history, with digital tools and methods, or on environmental history