89 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Switzerland
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have on social relationships and user well-being among different populations. You have excellent knowledge of research methods and statistics and are interested in learning new methods and statistical
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
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problems, scale solutions, and drive impact. Real Learning for Real Impact. To reinforce our team, we are looking for a Research Fellow: Natural scientist or engineer wanting to make a difference in
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an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our
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The position is hosted in the Department of Mechanical and Process Engineering (D-MAVT) of the ETH Zurich, in the Zentrum Campus in Zurich, Switzerland. D-MAVT (https://mavt.ethz.ch/) is an interdisciplinary
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applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse
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sciences. NCCR Genesis does not aim to provide answers in all fields, but to drive innovative research and achieve decisive progress. Details on NCCR Genesis are available on its website https://nccr
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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability
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, development, integration, and testing Membership in a motivated, supportive, and collaborative team The opportunity to learn from experienced researchers and technical experts while contributing to high-impact