76 programming-"https:"-"https:"-"https:"-"CIPMM---Systemic-Neurophysiology" positions at ETH Zurich
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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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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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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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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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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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to the research group’s teaching responsibilities, which involves teaching courses for ETH’s teacher training program in German. Further, the candidate should be prepared to co-mentor PhD students and to mentor
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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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, you will publish your results in peer-reviewed journals and present them at international conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent
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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