230 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" scholarships in Netherlands
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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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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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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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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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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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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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quantitative methodological skills in handling detailed spatial data, including various econometric techniques and machine learning approaches; a thorough understanding of empirical, explanatory research; a
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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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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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., 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