44 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" positions in Switzerland
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have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput
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). Applications from candidates without documented hands-on mouse experience will not be considered. The project also includes high-throughput metabolic profiling of genetic perturbations, computational data
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competitive grant proposals to support independent and joint research activities. Where to apply Website https://apply.refline.ch/673278/3852/pub/en/index.html Requirements Research FieldPhysics » Computational
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Application Deadline 1 Apr 2026 - 23:59 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme? Not
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, including the use of CRISPR-engineered cancer cell lines and metastatic models. In addition, the project integrates high-throughput metabolic profiling of genetic perturbations, computational data analysis
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6 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Civil engineering Mathematics » Statistics Sociology » Urban sociology Technology
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(R1) Application Deadline 21 May 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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diffraction (XRD), scanning electron microscopy (SEM), X-ray computed tomography (XRCT) Expertise in designing and performing high-temperature and high-pressure in-situ experiments is advantageous. Fluency in
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position in development of protocols for isolation of high performing microbial strains for sustainable
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in one or more languages such as R, Python, C/C++, or Perl. Experience with high-performance computing environments is an advantage. Excellent understanding of statistics and experience with complex