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to tackle this major clinical challenge. Using advanced data science and 'glucometrics', the standardised analysis of inpatient glucose data, the student will quantify adverse glycaemia, evaluate its impact
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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data analysis Strong foundation in mathematics Strong programming skills in Python (Python Data Stack, PyTorch, etc.). Good oral and written presentation skills in Norwegian/Scandinavian language
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/476f091506c47f6ec8551fd066942cc7978… Requirements Additional Information Website for additional job details https://recruiting.fz-juelich.de/jobposting/476f091506c47f6ec8551fd066942cc7978… Work Location(s) Number of offers
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world
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. https://www.polsl.pl/uczelnia/sygnalisci/ Where to apply E-mail [email protected] Requirements Skills/Qualifications A strong academic background in Artificial Intelligence, Computer Science, Data Science
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://sites.google.com/view/havvayoldas/home & https://sites.google.com/view/raphaelwinter/home for general information about the research topics. For information about the application procedure, please contact C
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Arctic Biodiversity (f/x/d/m) Background Long-term monitoring of marine and Arctic ecosystems generates large volumes of biological and environmental data, but current analysis methods only partly capture
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work