222 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD positions in Netherlands
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, including bioinformatics. You translate molecular insights into clinical applications and contribute to scientific publications and presentations. Where to apply Website https://www.academictransfer.com/en
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amongst neighborhoods through interventions. Where to apply Website https://www.academictransfer.com/en/jobs/359161/phd-researcher-smart-active-mob… Requirements Specific Requirements A background in either
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socially relevant field at the intersection of education, technology, and learning sciences, while generating both scientific knowledge and practical guidance for schools. Where to apply Website https
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computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
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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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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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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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applications that are complete, in English, and submitted via the application webpage before the deadline will be considered eligible. Guidelines for applicants: https://phdpositionswetsus.eu/guide
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of theoretical computer science researchers in Amsterdam (https://theory.amsterdam ). What are you going to do? You are expected to: carry out original research in the field of theoretical computer science; have
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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