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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 the fall of 2025 or early
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advanced computational methods to analyze and integrate single-cell multiomics datasets to decipher cellular and molecular mechanisms for disease heterogeneity. · Actively identify new opportunities
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Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
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applications Conduct detailed characterisation and analysis of composite materials, including mechanical, thermal, and structural performance testing Document findings, prepare technical reports, and contribute
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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experiments (both in the lab and in the field), coordinating cross-cultural studies involving multiple international research groups, data analysis, computational modeling, and writing scientific articles
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, especially in the area of simulations. Criteria of the candidate: PhD in the field of Computational Biology, or related fields Strong publication record in leading international journals Excellent background
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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through
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O’Regan and his team to support a program of research using cardiovascular imaging, genetics and health data to discover disease mechanisms and predict outcomes. You will work within a diverse
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Cardiovascular Data Science Hub. You will be working with Prof O’Regan and his team to support a program of research using cardiovascular imaging, genetics and health data to discover disease mechanisms and