42 assistant-professor-computer-science-and-data Postdoctoral positions at Leibniz in Germany
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-of-the-art imaging & spatial biology facility and the computational data integration at the Leibniz Institute for Immunotherapy (LIT). Postdoctoral researcher (m/f/d) – PB-2026-1 part-time (20.05 hours per
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: As part of an effort to improve our Open Science support infrastructure, we want to collect data on researchers’ needs for Open Science support and their interest in verified data about their own and
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further both professionally and personally in an interdisciplinary setting. Position The DWI is looking for a Postdoctoral researcher to develop new granular biomaterials for tissue engineering purposes
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(IWH-DPE ). Knowledge of German is not a requirement for the position. Further information The IWH is a family-friendly employer that guarantees equal opportunities. We highly appreciate diversity and
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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Frankfurt a.M. For any job-related inquiries, Professor Dr. Thomas Hickler will be happy to assist you at thomas.hickler(at)senckenberg.de For data protection information on the processing of personal data as
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-of-the-art molecular and computational tools. The project seeks to accelerate global biodiversity discovery by making museum collections more accessible through open data and to advance our understanding
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a Postdoctoral Researcher (Postdoc) - Artificial General Intelligence (AGI
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thus offers high research efficiency and an excellent research environment. The Division of Functional Immune Cell Modulation, led by Professor Luca Gattinoni, is recruiting a highly motivated
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods