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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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, gaining expertise at the interface of materials science, mechanics, and advanced manufacturing, and helping shape the future of high-performance materials in Europe. Where to apply Website https
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) Teuling. Where to apply Website https://www.academictransfer.com/en/jobs/362684/phd-position-water-mediated-coo… Requirements Specific Requirements You hold (or are about to complete) a Master's degree in
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Chemistry, Atmospheric Dynamics, Desertification and Land use, and many other subjects. You will be co-supervised by Dr. D. (Dragan) Milosevic and Dr. G.J. (Gert-Jan) Steeneveld. Where to apply Website https
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simulations, you will learn all the necessary methods & techniques in our group, and a PhD student or postdoc will be your daily supervisor. Working conditions At the start of the traineeship your trainee plan
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ability to learn quickly is also essential. Furthermore, you bring: Master’s degree in Medicine, or expected to be obtained in the near future. A strong research interest, as evidenced by a master’s thesis
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learning, broadening the elective portfolio, and creating a learning environment in which students feel challenged, supported, and proud to belong. To achieve this, we are looking for five new colleagues who
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clinician-centered direction to development complex technical tools. Are you ready to iteratively create such prototypes and shape them together with experts in the field? You are part of a learning community
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), University Utrecht (NL), SciCross (SE), RD –Néphrologie SAS (FR), University of Bern (CH). For more information: https://www.cordis.europa.eu/project/id/101225380 Doctoral project (Promotors: Prof. Dr. Joachim
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, subjective user feedback, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control