83 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "J" uni jobs at ETH Zurich
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programming skills (ideally Python) and commitment to clear, reproducible, well-structured code Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise) Strong analytical
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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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disciplines) Good programming skills (Python, MATLAB) Interest in machine learning (ML) and structural mechanics Motivation to work on interdisciplinary research problems Independent and structured working
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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