28 parallel-programming-"https:"-"CEA-Paris-Saclay" Postdoctoral positions at ETH Zurich
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Übersicht Three Postdoctoral Positions in Circular Engineering for Architecture 100%, Zurich, fixed-term Drucken The Chair of Circular Engineering for Architecture (CEA), led by Prof. Dr. Catherine
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[Eshmuminov et al. Nat. Biotechnol. 2020] and the first clinical transplantation of a liver treated and recovered in a perfusion machine [Clavien et al. Nat. Biotechnol. 2022]. In parallel, the lab has
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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candidates should have a strong background in computer science, parallel computing, compilers, performance optimisation, and high-performance computer systems. Excellent knowledge of C and C++ is
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, real-time control of therapeutic protein expression and metabolic regulation. Leveraging innovative platforms such as direct-current-actuated regulation, electromagnetic programming of wireless
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programming work (if available) Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website . Questions regarding the position should be directed to Dr. Imanol Schlag
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platform , published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific brain regions
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translational development, we aim to shape the future of biomedical innovation. Job description Postdoctoral projects will combine molecular engineering, cell programming, and chemical–biological
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development, we aim to shape the future of biomedical innovation. Job description PhD projects will combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human
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propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python, MATLAB, or similar) Motivation to combine computational modeling with experimental