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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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to demonstrate prior achievement. University degree in any field with 3–7 years of relevant experience (multiple roles and/or post-PhD), with a strong preference for life sciences or health backgrounds and/or
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constructively with colleagues in ways that support the project's progress Teaching responsibilities of no more than 20%, including: grading short-essay assignments preparing multiple-choice questions
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advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework
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Teaching responsibilities of no more than 20%, including: grading short-essay assignments preparing multiple-choice questions for an introductory course, partly depending on your background in marketing
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biology. The project aims to uncover how mechanical properties, forces, and physical phenotypes integrate with molecular networks to regulate the function of complex cellular systems across multiple
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online calibration framework that leverages deep learning to intelligently fuse data from multiple sensors (IMU, cameras, eye-trackers) By training models on a high-fidelity digital twin and exploring
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all aspects of our business. And since we look at competencies across functions and geographies, youll certainly be able to align your interests with our business needs. As one way of showing our
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2026/01/24 11:59PM Position Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in