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position, you will have the appropriate qualifications. Please send us a meaningful CV and references. motivation, initiative, flexibility, and willingness to perform a strong independence and reliability as
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salary is based on the German Labor Agreement for Public Service (TVöD). Your qualifications BSc/MSc in Computer Science or related field. 1–3 years of experience in modern software and infrastructure
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
scientific software development and performance-oriented computing # Ability to conduct independent scientific research and take methodological responsibility # Strong analytical and conceptual thinking skills
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) level in the FEoL and BEoL area of various CMOS technology nodes. Be part of change Electrical Characterization & Reliability Analysis: You perform electrical characterizations and reliability analyses
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Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access Open and FAIR Data Citizen Science
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2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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frequently investigated regarding their suitability for such a process. One disadvantage of these technologies is the high energy requirement during the temperature and pressure swings. Electrochemical
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strategies to remove dissolved oxygen from oxygen-saturated aqueous mixtures, enabling more robust process performance. It will be part of a joint project with two other groups of TUM and an external
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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning