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Experience in X-ray or neutron scattering methods Experience in research related to the focus area of the project of your choice Experience with analysis of scientific data Scientific programming skills
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CDM, HL7 FHIR Hands-on experience working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL Experience programming in Python and working with machine-learning frameworks and libraries
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network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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storage conditions Solid scientific programming and data analysis skills (e.g., Python, C++ or Fortran) for script development, code execution, and parsing complex data sets Ability to independently
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Science, Computational Neuroscience, Physics, Mathematics, Biomedical Engineering Outstanding doctoral degree in one of the above disciplines Significant programming skills (preferably in Matlab or Python
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programming skills (e.g. Python, C++) Excellent ability to cooperate with other sciences and to work as part of a diverse team, interdisciplinary and cross-topical thinking. Very good communication
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technical skills: experimental practice, instrumentation, image analysis, tomography, programming languages, experience in large scientific facilities experimental campaign Soft skills: ingenuity
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; · Scientific programming and data analysis. Experience with absorption systems, ammonia–water mixtures, injectors/ejectors or phase-change phenomena would be an advantage, but is not mandatory. You
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Science, or a related field. Hands-on experience with cleanroom nanofabrication. Familiarity with transport experiments (thermal, electrical) is a plus. Strong analytical and programming skills (Python