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available in the further tabs (e.g. “Application requirements”). Objective To intensify German-Chinese research cooperation and improve funding opportunities for young Chinese scientists and academics
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. engineering with a focus on process engineering or chemistry) and successfully completed doctorate Practical knowledge of electrochemistry, electrochemical converters and/or process engineering systems
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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for internally financed doctoral positions. The fourth year is budgeted and will be granted, provided that previously defined milestones have been met. two postdoctoral researchers (m/f/d): reference number
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assess the process maturity of new, still immature production processes along their process development and optimization. The concepts of "observability" and "controllability" known from systems theory
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research
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, Mathematics, Physics, or similar fields Broad interest in scientific topics Good knowledge of AI and applied Machine Learning Practical experience with High Performance Computing Systems as well as parallel
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 1 month ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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Expertise in spectroscopic measurements and/or scanning probe microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a team Background in electronic
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of high-throughput systems is maximized using design of experiment (DoE) approaches in order to efficiently explore the high-dimensional parameter space of the electrolysis processes. DoE is required