78 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "U.S" positions at ETH Zurich
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the Institute for Atmospheric and Climate Science which hosts a seminar series and maintains educational programs at the BSc and MS levels. The group is located at ETH’s central campus with access to high quality
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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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solutions. In addition, you will design, plan, and manage software projects from requirements engineering and stakeholder management to budget responsibility. You will ensure that the RDM systems used
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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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demo and pilot a success that builds confidence, trust, and long-term customer relationships. Your Contribution Plan, organize, and execute customer demonstrations and pilots, including equipment
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experience. Strong programming skills in Python and experience with modern ML stacks (PyTorch, HuggingFace, distributed training). Experience in LLMs, vision–language models, multimodal learning, or clinical
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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