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data. Perform cross-species (human–mouse) data integration to identify conserved and divergent cellular and molecular signatures of PAD. Apply and further develop computational tools for cell-cell
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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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novel biosensors, gene switches, genetic closed-loop circuits, and chemical structures that interface with and actuate cellular activities, we design programmable cellular implants and devices
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Zurich, is seeking a highly motivated Doctoral Candidate. Our research focusses on ultracold neutral atoms and their application in quantum technologies, in particular, quantum computing. We are currently
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international conferences taking part in the research activities of the Chair and KOF, including regular research meetings and seminars completing coursework within the D-MTEC doctoral programme depending on your
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conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent Master's or diploma in chemical engineering, process engineering, mechanical engineering, energy science
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work, you will publish your results in peer-reviewed journals and present them at international conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated PhD student to work on programmable materials that access multiple distinct mechanical states for next
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Website . Questions regarding the position should be directed to Prof. Dr. Eva Heinen [email protected] (no applications). We plan to start shortlisting by the end of August 2026. Please note that we
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be