251 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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., at Paul Scherrer Institute) Fabricating thin-film devices in a cleanroom and performing electrical and transport characterization Using first-principles calculations and machine-learning foundation models
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sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also lead the development of a cross-platform
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units. Through cartography, these units are organized into latent spaces that can be explored as structured landscapes. In this way, machine learning becomes a tool for mapping high-dimensional data
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modern empirical methods would be useful, but expertise across all of these areas is not required We value a research culture in which people share ideas, learn from one another and treat each other with
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In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity
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. 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 Equal
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. To do so, we combine data from social media, online newspapers and original surveys with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers
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and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure
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simulation, and machine learning. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in
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be advantageous. Experience in medical imaging, computed tomography, image analysis, or morphometric analysis. Experience with machine learning, statistical modelling, parameter estimation, model