53 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at University of Amsterdam (UvA)
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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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supervision signals (e.g., labels in a downstream task or symbolic constraints). You will perform machine learning research, developing a framework for learning interpretable and robust concepts with
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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 Are you passionate about advancing Machine Learning by integrating
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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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psychology research; Motivation to collaborate with researchers and clinical psychologists, with the ability to work independently and accurately; Dutch B1 proficiency, or a commitment to learn in the first
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students who would like to teach our first-years students and help them to integrate in the university. Do you want to make the difference for our students? All first-year students will be enrolled in
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to teach students during their second/third year of
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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