570 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Netherlands
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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will: - Develop and train deep-learning
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actively contribute to meetings and gatherings of the Social Context of Aging group at the VU (https://vu.nl/nl/over-de-vu/meer-over/the-social-context-of-aging-soca ) ,the LASA research team in
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the longer term, build up a successful team around your field of expertise You acquire external research funding and submit applications for financing research with societal impact You teach at BSc and MSc
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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Breeding and Genomics Group | WUR . Where to apply Website https://www.academictransfer.com/en/jobs/358906/phd-position-welfare-assessment… Requirements Specific Requirements You are a highly motivated
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it an advantage if you bring one or more
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at interdisciplinary conferences alongside a team of psychologists, historians, and computer scientists. What do you have to offer Must-have: You have completed a PhD in psychology, computational social science
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industrial partners across Europe Network-wide training schools and workshops Supervision by leading experts in the field A personalized Career Development Plan Challenge-based learning principles Where