243 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in Netherlands
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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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details https://www.mbnresearch.com/MS-RADAM/DC-research-projects https://www.rug.nl/research/gradschool-science-and-engineering/ Work Location(s) Number of offers available1Company/InstituteUniversity
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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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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
support senior teachers and offer guidance. You teach qualitative research methods and general courses in research methods in the programs in which the Methodology and Statistics department is involved
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and scalable. Design and build a technology demonstrator prototype of clinical-testing grade. Collaborate with interdisciplinary teams, including clinicians, engineers, and machine learning (ML) and
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning. Information The context
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artificial intelligence, computer science, engineering, mathematics, physics, or a related discipline Demonstratable background in machine learning, information retrieval or natural language processing
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. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive community
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in exciting scientific communities on innovation and technology assessment. The project will be supervised by Dr Matthijs Janssen and Prof Wouter Boon . Where to apply Website https