250 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" scholarships in Netherlands
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) and follow courses at the Graduate School of Life Sciences and/or Philosophy; you will also teach Bioethics and Medical Humanities courses at the Faculty of Health Sciences. Where to apply Website https
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to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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clinical diagnostics. Where to apply Website https://www.academictransfer.com/en/jobs/357934/phd-position-on-enriching-digit… Requirements Specific Requirements We are seeking a highly motivated researcher
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learn about many interesting projects related to your PhD, in particular those of the strontium BEC group and of the hybrid atom-ion group . Your PhD project will profit from synergy with all
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on
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to new pathways to and forms of social cohesion. See https://socion-program.org/research/ For more information about this position, please contact (Elise van Nederveen Meerkerk
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of related events and activities. In addition, they may be given a temporary appointment at the University to design and teach an undergraduate course in the general area of their interest. Requirements A
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research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art and artistic research can be embedded in ongoing and emerging work on climate justice. They will
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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quantitative methodological skills in handling detailed spatial data, including various econometric techniques and machine learning approaches; a thorough understanding of empirical, explanatory research; a