25 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" research jobs at University of Amsterdam (UvA) in Netherlands
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Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
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(HIMS), in close collaboration with industrial partner BOR-LYTE and Smart Industry testbeds. This position offers a unique opportunity to combine inorganic chemistry, spectroscopy, machine learning, and
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also their globality and totality, their immediate effects and their long-term global repercussions. More information can be found on the project website: https://blockades.eu/ Join us! This postdoc
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to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning
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Website https://www.academictransfer.com/en/jobs/360208/postdoctoral-position-synaptic-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/360208/ Work
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, preferably a published peer-reviewed paper Contact information of two academic referees Where to apply Website https://www.academictransfer.com/en/jobs/360180/postdoc-researcher-regulating-f… Requirements
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, data driven, computational, and intelligent systems, all with a strong interactive component. The Digital Interactions Lab (DILAB) is a small but vibrant human-computer interaction research group within
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to imagine novel task configurations and learn robust manipulation policies from just a few real demonstrations. You will work at the intersection of 3D computer vision, physical simulation, and robot learning
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files are rejected for being too big or that we miss part of your application. Where to apply Website https://www.academictransfer.com/en/jobs/360178/phd-researcher-in-legal-and-eth… Requirements
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/or PhD students where relevant and even in other universities part of the Consortium and contribute to the academic life of the GID/GPIO department. We expect and encourage post-docs to teach 0,1 FTE