115 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" Postdoctoral positions in Germany
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the VIOLET research framework Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios Mentor and supervise PhD
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focus on topics of the department and in particular on determinants and development of socio-emotional and cognitive competencies, preferably with data from the National Educational Panel Study Exchange
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applications will be considered as long as the position has not been filled. For further information, please contact Felix Kling (flxkling@gmail.com). Application Materials Required: Further Info:
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preference in the hiring process. The University of Tübingen is committed to equal opportunities and diversity. It therefore takes individual situations into account and asks for relevant information
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 3 hours ago
in the fields of epidemiology, medicine, and demography. Further information on the research group can be found here: www.demogr.mpg.de/go/rgmd Who we are looking for Applications are invited from
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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Research Council (ERC Starting Grant, Project 101042125). The group collects legal information of social security systems in the fields of healthcare, old age security, unemployment, and minimum protection
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 9 days ago
of the lab to tackle how transposable elements are contributing to mammalian embryonic development in health and disease Analyze and interpret scientific data Adapt existing methodologies and develop new
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using