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The Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School
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at CHUV by verifying and validating robust software that contributes to various stages of therapy development (including: imagery, therapy optimisation, interface with the electrical stimulators, home use
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at the interface of MEMS microfabrication, scanning probe instrumentation and cryogenic measurement technology. Main responsibilities include: Design, fabrication and characterization of advanced MEMS
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Implement data-ingestion and similarity-matching logic that completes missing component information (GNN) Build the web interface: data upload in, ranked results out Work independently from rough goals
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systems. Familiarity with precision medicine, genomics, multi-omics, or AI-enabled biomedical research. Experience operating at the interface between academia, healthcare institutions, industry, and public
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multidisciplinary group at the crossroads of engineering and biology. Our research explores materials, technology and integration of soft bioelectronic interfaces and electronic skins. We design, fabricate and
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in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and Communication
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analysis is a plus but not required Interest in working across the interface of imaging, microbiology, and drug discovery We offer The opportunity to build a new screening platform from the ground up, with
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coordination of purchasing and equipment maintenance. They will also contribute to research activities at the interface of biology and physics. The position requires excellent organizational skills, meticulous
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell