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Experience in electrochemistry and polymer chemistry desirable Good mechanical and electronics skills, motivation to building new devices Excellent ability to work as a part of interdisciplinary team and in
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) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
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Your Job: The energy transition not only generates new demand for materials, but also phase out material flows such as gypsum production in coal-fired power plants. These lost material flows must be
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for memristive circuit measurements and experimental data analysis interact with cross-disciplinary experts (e.g. neuroscientists and device physicists) Your Profile: Master’s degree in electrical/electronic
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Knowledge in mathematical optimization methods Experience in data analysis and programming (preferably Python) Ability to work independently and collaboratively in a research environment Fluent English
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master’s degree in chemical engineering or a related discipline Ability to work independently with intrinsic motivation and show initiative within the team Joy and expertise in reaction engineering
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on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems including the upcoming first Exascale computer in Europe, Comprehensive training courses and
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research data analysis Willingness to learn and ability to think outside the box Excellent cooperation, communication, and teamwork skills Collaborative working in multicultural and interdisciplinary team
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pushing the boundaries of interdisciplinary collaboration. Fluent in English, with excellent communication skills and the ability to work effectively in a dynamic, collaborative research environment
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is desirable: Electrochemistry, thin films, polymers, catalysis High motivation for pursuing a PhD within 3 years Ability to show initiative and work independently Excellent cooperation and