326 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Germany
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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positions limited to 3 + 1 years, part-time 65 % 5 postdoctoral positions full-timelimited to 2 years one open level doctoral or postdoctoral position with wet-lab or computational focus Remuneration is
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, Dark Matter and Axion Physics , Elementary Particle Physics , hep , hep-ph , HEP-Phenomenology (hep-ph) , High Energy Physics , High Energy Theory , Machine Learning , Neutrino physics , Particle
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 23 days ago
theoretical models and computer simulations. Adaptation of complex traits is assumed to occur through subtle frequency changes at many loci following a shift in the trait optimum, i.e. polygenic adaptation
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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 14 days ago
39,83 Offer Starting Date 1 Feb 2026 Is the job 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
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 PhD student & 1
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with experiments, including