16 algorithm-development "https:" "IMT Atlantique" Fellowship positions in Switzerland
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multiphase flows Your tasks Develop and extend the in-house GPU-accelerated multiphase Lattice Boltzmann (LBM) code for DNS-grade boiling multiphase flow related to nuclear reactor operation, including bubble
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basic and clinical scientists to advance our understanding of health and disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research
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for Photon Science we are looking for a Postdoctoral Fellow in serial crystallography data analytics Your tasks The development of serial crystallography data analysis pipelines at SwissFEL and the SLS 2.0
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(SNSF). AntiResist is transforming antibiotic discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance
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Research (NCCR) AntiResist is a Swiss-wide research consortium funded by the Swiss National Science Foundation (SNSF). AntiResist is transforming antibiotic discovery and development through in vitro
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develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest department
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for a Postdoctoral Fellow in lithographic fabrication of X-ray optics for microscopy and spectroscopy Your tasks Development of nano-fabrication processes for diffractive X-ray optical elements at PSI's
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science. Your main responsibilities will include: Characterization of biologics (antibodies, proteins, siRNA) in the presence of excipients using SAXS and complementary biophysical techniques Development
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a Swiss-wide research consortium funded by the Swiss National Science Foundation (SNSF). AntiResist is transforming antibiotic discovery and development through in vitro modelling of in-patient
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a Swiss-wide research consortium funded by the Swiss National Science Foundation (SNSF). AntiResist is transforming antibiotic discovery and development through in vitro modelling of in-patient