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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 19 hours ago
statistical frameworks to generate representative observatories of online behavior. (PIs: Gummadi, Cha, Zagheni, Engel) Rapid advances in Machine Learning and Artificial Intelligence are opening up new
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Profile A PhD in (bio)acoustics, spatial ecology, marine environmental science, or a related subject Experienced in acoustic propagation modelling, signal processing, and data mining A strong background in
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 18 days ago
, bioinformatics, statistics, biophysics, chemistry, and biology, we are fascinated by proteins. We study how protein synthesis errors contribute to the diversity of proteins observed in every cell and how
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of findings for the National Report on Education Supporting the supervision of qualification theses and commitment in applying for third-party funding Your profile Above-average PhD in a relevant discipline (e.g
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that enable pragmatically adequate context-dependent language use. The project uses causal intervention methods and draws on theoretical insights from research on causation in statistics, logic and philosophy
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of Human-Centered AI Technologies, leveraging advanced Generative AI and novel interaction technologies. PostDoc and PhD Positions in Human-Centered AI Potential Project Ideas are: AI in Education AI Safety
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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to Understand and Improve Veterinary Infectious Disease Models The interdisciplinary 3RTG Graduate School invites applications for PhD positions in the field of infectious disease research using animal models
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 15 days ago
candidates who have, or will soon obtain, a PhD in demography, sociology, epidemiology, medicine, health economics, biostatistics, public health, or a related field. The successful candidate is expected
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biodiversity patterns, utilizing both spatial and statistical expertise. At this stage of the subproject of the CRC the project aims to evaluate whether ecological patterns previously identified in the RESIST