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Your Job: To further develop the high-temperature electrolysis and fuel cell technology (Solid Oxide Cell, SOC), you will take over management of the merged departments "Electrochemistry" and
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/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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: https://www.fz-juelich.de/profile/frunzke_j Your Profile: Highly motivated and excellent candidates with a Master of Science degree in biology, biochemistry or related subjects are strongly encouraged
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presentation of the research results and preparation of relevant publications and presentations in the sub-project "Medical and political ethics of brain age prediction" Support with the organisation
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
, physics, data science, computer science or a related field Knowledge on the fundamentals of NMR spectroscopy Experience in Python programming Expertise on the fundamentals of electrochemistry and spin
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electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on
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training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national
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Your Profile: Required qualifications and skills: Masters degree and PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good
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, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national and international ML/DL communities, most