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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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electron microscopy (TEM). Interest and experience in working with industrial problems. Experience/ knowledge within electrochemistry. Experience with programming and/or data processing in Python. Good oral
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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) and programming (e.g. Python, Matlab), with strong programming skills. Has knowledge of the steelmaking industry or of other process industry (e.g. modelling, experimental tests, techno-economic
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CABE (“Circular Approaches for the Built Environment”, https://dutpartnership.eu/projects/cabe ), which during the next years will develop and pilot innovative urban resource sharing infrastructures and
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on the following assessment criteria: Knowledge in energy technology, large language models (LLMs), deep learning, and Python programming. Meritorious qualifications include knowledge in power engineering, power
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to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
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powerful energy recovery linac for experiments, Phys. Rev. Accelerators and Beam 27, 031603 (2024) Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9012-MARJOU-036/Candidater.aspx Requirements
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/ ) offers a 4-year NWO M1-funded PhD position for a project on “Social Ageing: Social