224 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" PhD positions in Netherlands
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animal breeding and genomics activities (research and education) of Wageningen University & Research (Research of Animal Breeding and Genomics | WUR ). Where to apply Website https
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you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by
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. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs
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applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359529/phd-position-inspection-and-ass… Requirements
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colleagues are working on sustainable greenhouse horticulture, both at our location in Bleiswijk and in Wageningen. Where to apply Website https://www.academictransfer.com/en/jobs/359531/scientific-researcher
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about the working conditions, please visit: https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value At the Faculty of Science, we value
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the sensitivity of our new measurements to pathology (e.g., neurodegeneration, vascular injury) in post-mortem human brain samples. Acquire MRI data of healthy volunteers and study the distribution of cortical
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of academic skills through teaching courses and supervising master/bachelor theses within the department. Where to apply Website https://www.academictransfer.com/en/jobs/358940/phd-candidate-in-mathematical-o
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint