283 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Germany
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04.04.2025, Wissenschaftliches Personal The Chair for Computer Architecture and Parallel Systems (CAPS) offers this position as part of the DARE-project funded by the EuroHPC JU bringing together
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
# Work in an interdisciplinary team to develop analytical and statistical/machine learning methods for surface geochemical exploration # Preparation of multi-method exploration-campaigns for known deposits
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD/PostDoc/Research Assistant
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proteomics, machine learning, and computational biology (up to E13 according to the TVöD Bund salary scale) About the Role The successful candidate will be part of a dynamic, interdisciplinary team operating
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broadly usable computational methods and tools. Your Profile: You have a PhD relevant to computational biology, e.g., in bioinformatics, systems biology, or in statistics, physics, computer science with
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other researchers at the Hector Research Institute. What we expect from you: A PhD in Psychology, Education Sciences, Learning Analytics, Data Science, Cognitive Science, or a related field, prior
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disciplines with PhD Extensive knowledge of machine learning/artificial intelligence and big data science Extensive knowledge of programming languages (ideally Python) Basic knowledge of synchrotron research
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
receive) a PhD in computer/data science with a keen interest in leveraging their computational expertise to address fundamental questions in biology and human health. The ideal candidate will possess
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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arising from a range of translational applications in the area of spatial biology. Prerequisites The candidate should: Have either a PhD degree in computer science, engineering sciences, physics