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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 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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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation methods Supervising a small team of PhD and MSc students Developing new
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | about 2 months ago
university studies (PhD) in a relevant field, such as molecular biology, computational biology, bioinformatics, genetics, computer science, mathematics, or equivalent scientific background A solid background
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coupled hydrological and groundwater modelling, combined with machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics
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and scientific articles the supervision of PhD and master students Your Profile: PhD in physics, computer science, mathematics or comparable fields Proven research experience in the area of quantum
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Qualifications: Master’s and PhD degree or equivalent in physics, mathematics or related fields Proven research experience e.g. through peer-review publications Excellent written and spoken English skills Ability
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sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard Kramer
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06.12.2021, Academic staff The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation (ML4Earth