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Field
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scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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part of change Development of novel image and video representations Research on alignment between different visual representations, e.g. foundation models Research on properties of learned visual
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Scholar Opening in Indoor Air Quality Mission EPFL (École Polytechnique Fédérale de
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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need to be able to analyse data and interpret findings from your research, including large and complex datasets combining different modalities (in particular behavioral and neuro-cognitive methods, but
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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, particularly in light of the rise in chronic diseases, the necessary strengthening of prevention efforts, or the possible resurgence of epidemics; socio-economic inequalities and differing capacities to access
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic