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generalizability, reliability, and robustness. Prof. Li has authored over 40 papers in top-tier AI and machine learning conferences and journals. Ranked among the Top 50 researchers in “Spatiotemporal Data Mining
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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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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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You will take on exciting responsibilities, including services in research and teaching (§ 72 HessHG), while also advancing your professional and didactic qualifications. You will teach students in
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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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research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry. The PhD candidate will engage in
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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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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