271 data "https:" "https:" "https:" "https:" "University of St" Postdoctoral positions in Germany
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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine
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Research Data Center , the IWH hosts a wealth of commercial databases via WRDS and other platforms, provides access to proprietary microdata on banks and firms via research collaborations, and pursues
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about and presenting scientific data Interest in working in a collaborative network of friendly scientists around the world Our offer The position offers an extremely international, well-equipped, and
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details on the participating institutions, information on the sponsorship programme and the relevant contacts here . Application Deadline Application deadlines differ and may be requested at the individual
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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 7 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