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: Participation in national and international conferences and workshops Additionally, the Institute of Climate and Energy Systems - Jülich Systems Analysis offers to all its PhD students: TEAM & ENVIRONMENT: You
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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, planning, performance and analysis of XPCS experiments at PETRA III, European XFEL and other international synchrotron radiation and FEL light sources Contribution on further developing coherent X-ray
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environmental conditions and the analysis and modelling of the consequences of interventions in biogeochemical cycles. The social science methodology is included in the context of human ecology, political ecology
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device constraints Design and implement hardware-efficient training methodologies for machine learning systems Conduct comparative benchmarking and performance analysis against state-of-the-art studies
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involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Scientific analysis of additive manufacturing in the context of future production, material, and energy systems Research
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
biology, biochemistry, and utilizing single-cell analysis technologies. Plan experiments, analyze experimental data, write scientific publications, and present research findings in seminars and scientific
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by a training programme in computational physics, data analysis techniques, space technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based