249 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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laboratory work, good organizational skills and the ability to work independently. Applicants should enjoy learning new methods and working in a collaborative research environment. Enthusiasm for infection
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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60%-80%, Zurich, fixed-term The Strategy & Analytics Group in the Unit for Teaching and Learning provides the evidence behind decisions about teaching at ETH Zurich. The team runs ETH-wide projects
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methods involving molecular surface display and deep sequencing to study force-dependent behavior in protein systems. These datasets will, in turn, be used to train machine learning models capable
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dynamics (MD) simulations including enhanced sampling techniques as well as machine learning. Profile Applicants should hold a M.Sc. in computational chemistry, chemistry, biochemistry, or physics
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can significantly improve the treatment and outcome of oncological patients. Project background You will contribute to the design and implementation of machine-learning-based sparse 3D image
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focuses on the development of AI systems with an emphasis on understanding and reshaping the role of human. The study context is broad, such as AI for clinical or legal decisions, AI for learning and
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Computer Vision & Visual Data Analysis profile, you have experience with Python, computer vision, image processing, or machine learning. Experience with PyTorch, image embeddings, vision-language models
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development of metacognitive skills across childhood and adolescence. Metacognitive skills play a central role in successful learning because they enable learners to monitor their own understanding, recognize
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bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular