38 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions at EPFL
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Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet highly controlled, behavioral assays in which
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characterization and process-evaluation methods for end-of-life PV modules, assessing recovery yield, purity, energy consumption, environmental impact, scalability and economic relevance. You will plan and conduct
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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on ongoing projects. We welcome young scholars in entrepreneurship, strategy, and technology and innovation management, using quantitative, qualitative or experimental methods. The Chair's research appears in
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Positions Application Deadline 15 Oct 2026 - 15:55 (Africa/Abidjan) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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mechanisms, enabling new strategies to diagnose and treat complex human disorders. SATURNA brings together expertise in artificial intelligence, computational RNA biology, molecular, cellular and clinical
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science, etc.) or in computational social science. An interest in problems related to climate, sustainability, energy, and/or labor economics. Ability and/or desire to work in a team/lab setting. Fluent in
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab (https://www.epfl.ch
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advanced computational models; and Related topics in indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled laboratory experiments, measurements in real
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational