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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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English. Solid programming skills in Matlab, Python, or C/C++. Great emphasis will be placed on personal qualities such as strong collaboration and communication skills with other researchers and project
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languages, e.g. Matlab and Python. Basis for assessment and selection In accordance with the provisions of the Higher Education Ordinance, selection shall primarily be based on an assessment of the applicants
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of medical imaging technology and physics. Specific proficiency in relevant software and programming languages, e.g. Matlab and Python. Basis for assessment and selection In accordance with the provisions
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, statistics, programming (e.g., R or Python), or language technology, scientific writing and analytical ability. Experience with text analysis, machine learning, or linguistic data management will be considered
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analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
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, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent
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related field, Knowledge in fluid mechanics and heat transfer, Programming skills (Python, MATLAB or equivalent), Strong English communication skills. Experience in multiphase flows, modeling, or AI methods
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security - A very good knowledge in programming (such as in C, Java or Python) - In-depth understanding of computer systems (assembly code, compilers) Additional Information Work Location(s) Number of offers
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at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills