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                Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 3 days agoProgramme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:PostDoc in 
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                . Experience with computational analysis of NGS sequencing data and/or experience with mouse models is a plus. Job Duties Under the general direction of the PI: Design, plan, and conduct research experiments 
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                We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models 
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                funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The arrival of large galaxy surveys 
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                artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer 
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                ). - Scientific computing experience (e.g., Python, Julia, C, C++). Preferred Qualifications: - Experience with optimization modeling and mathematical programming languages (e.g., GAMS, Pyomo, JuMP). - Experience 
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                Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38, contributing to the functional interpretation of genetic variants and the modelling of immunopathological pathways. The position will be closely integrated with other computational biologists 
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                Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language 
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                Experience in the broad area of quantum computing Experience with theoretical modelling and design of superconducting circuit devices Experience with modelling and simulation of quantum dynamics, dissipation 
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                Generative Modelling to apply and develop cutting-edge deep generative probabilistic models including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and