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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
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over a leadership role (Team Lead) in the institute Motivation Do you want to put your scientific career on the fast track and feel electrified? Do you have ambitions to lead a research team with whom
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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senior member of our research team, you will take intellectual and operational leadership for key technical and methodological work packages: Drive technical outcomes and provide quality assurance
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional molecules # Engage with our international collaborators (Berlin, Dresden, London
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using R and/or Stata) Experience in planning and performance of scientific studies Experience in publishing results in international journals Experience in obtaining external funds is beneficial Very good
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/d) in the field of natural sciences or engineering remuneration group 13 TVöD Official/permanent employment relationship Full-time/suitable as part-time employment subject to the approval of funds
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forward to your scientific expertise at the Centre for Reproductive Medicine and Andrology (CeRA) Our centre specializes in research on male reproductive function. In a multidisciplinary project funded by
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to understand how molecular defects in distinct vascular segments (arterioles, capillaries, venules) affect vascular-glial crosstalk and cause neurodegeneration. This work builds on our recent genetic discoveries
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analyse data from krill fishing operations and explore the potential impact of the fishery on krill populations. This will be achieved through the use of empirical approaches and simulation models exploring