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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology
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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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position to Cameron Ellis at cameron-ellis@uiowa.edu , and questions about the application procedure to Kaite Voss, Senior HR Director at katherine-voss@uiowa.edu . Additional Information Final candidates
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perform outside the lab, how they are perceived and accepted by users, and how data from real-world deployments can inform the design of personalised support strategies. You will work closely with engineers
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in environmental sampling (water, sediment, soil), hydrological monitoring, field campaign logistics and harsh or remote environments. Strong data analysis skills and experience with statistical tools
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | 1 day ago
deadline More information about the programme and on how to apply can be found on our website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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contact details of 3 referees Applications should be submitted in English. Enrollment at the University of Basel for the successful candidates is mandatory. For more information, please contact Professor De
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Information Further information about this position is available via email from Professor Ahmad Rafsanjani (ahra@mmmi.sdu.dk ). If you experience technical problems, please contact our email support