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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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qualifications. You will teach students in accordance with the teaching regulations of the state of Hesse in the subjects “Animal Physiology” and “Neurobiology”. You will carry out research projects with a focus
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the supervision of Prof. Jeroen Famaey and Prof. Kevin Mets as a member of the IDLab research group at imec and the University of Antwerp. You will closely collaborate with other researchers at IDLab and actively
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is working to be the state’s world-class cancer research institute, jointly resourced by the Federal Department of Health, CALHN and the University of Adelaide. Reporting to Associate Prof. Robin Hobbs
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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at highest risk of kidney function decline, aiding trial prioritisation What you will learn and why it matters This PhD provides a rare skill set sought after in academia, biotech, and healthcare innovation
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-A1 Investigators: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor plus an international tutor of the CRC Requirements
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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opportunity to learn, develop and apply a range of cutting-edge modeling and computational techniques. You will work in an interdisciplinary, cutting-edge, fast-paced research environment, interact with
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Prof. Tanja Lange to conduct research and publish results at top-ranked international academic conferences and journals. You will be expected to collaborate with fellow PhD candidates and researchers