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mission is to become a world-class computer science and artificial intelligence research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD
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Global) as one of the programmes. It is home to a community of over 100 PhD, Postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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. Job description Job responsibilities include engineering, transducing, and characterizing primary T cells with synthetic genetic circuits; optimizing and executing protocols for retroviral or lentiviral
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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical
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funded by the Swiss Federal Office of Energy. Your tasks The research project focuses on the solvent-free manufacturing of battery electrodes to improve the ecological footprint of lithium-ion batteries
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immediately and will remain open until filled. The level of this appointment is ideal for candidates who recently completed their PhD (or is expecting to soon). Interested candidates can apply by submitting a