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to several available omics datasets, both open-source and provided by collaborators, and you will develop R packages to implement the methods. By improving model assessment and interpretability, your work will
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costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
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missing anatomical information and realistic, biomechanics-aware transformations. The work will be carried out in close collaboration with clinical and imaging partners at UZ Brussel, as well as with other
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, and biostatistics. Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an
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develop and implement strategic and operational procedures that advance the cybersecurity community’s effectiveness. Our work includes regular collaboration with sponsors and partners to design, evaluate
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algorithms that combine Reinforcement Learning techniques like Partially Observable Markov Decision Processes (POMDPs) with cognitive inference modules capable of modelling human beliefs, intentions, and goals
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training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
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applied research project on the detection, localization and interpretation of explosion events in underground ammunition storage facilities. The position is embedded in a collaborative project with
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
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this industrial PhD studentship in Physics – fully funded by the University of Exeter and Leonardo UK. We’re looking for a student who has a passion for science, with ambition to learn and apply their own ideas