76 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at ETH Zurich in Switzerland
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qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and
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researcher to advance our understanding of magmatic and volcanic systems. Job description Develop and lead an independent research program in magmatic petrology, volcanology, and/or geochronology. Publish
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to projects within the NCCR Microbiomes. The NCCR Microbiomes is a nationwide, interdisciplinary research programme, bringing together experimental and computational researchers with the aim of understanding
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contributions to the Swiss AI Initiative and similar programs, such as lending support for the development and release of the Apertus models. The initial two-year contract could potentially be extended or even
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, we plan to study atmosphere/ocean interactions at multiple spatial resolutions, and investigate consequences for tropical cyclones, clouds and precipitation and how they depend on spatial resolution
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-reviewed articles Profile Required qualifications and skills: Master’s degree in meteorology, climate science, physics or equivalent with demonstrated expertise or qualifications Programming experience in
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Switzerland for more than 12 months in the 36 months immediately before their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process
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their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
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molecular laboratory techniques (e.g. DNA/RNA extractions, PCR, qPCR) Experience in method development and testing protocols under laboratory conditions Ability to work independently, plan and document
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datasets (petabyte-scale), data management and data quality control Very good skills with programming languages such as Python/R/Julia, use of scientific data libraries (e.g., xarray, netCDF4, HDF5, Zarr