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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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: Algorithms, data analysis, graph, network, and complexity theory Scientific computing, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element modelling is an advantage. Background
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
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experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing
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Eigeninitiative, Serviceorientierung, Teamgeist und die Fähigkeit, mehrere Projekte und Themen parallel zu steuern und eigenständig zu bearbeiten. Sehr gute Deutsch- und Englischkenntnisse in Wort und
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engineer with the motivation to learn proof-assistant technology will thrive in this role. Main duties and responsibilities Bring technical expertise in systems programming and performance engineering
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Thomas' National Health Service (NHS) Foundation Trust. We run a clinical PET service in parallel with an extensive programme of clinical research. Facilities currently include 2 cyclotrons
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orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish