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The project involve conducting high-quality research at the intersection of thermo-fluids science, AI/machine learning and optimization. We envision that: You have an open mind and can think creatively in
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synthetic fuel reactors. Tasks include gas handling, system diagnostics, thermal integration, and performance evaluation under variable power inputs. Data Analysis and Machine Learning: Collect and process
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, machine learning and biophysics. Investigators at CFIN are supported by state-of-the-art research facilities, including MRI, MEG, OPM-MEG, EEG, PET, TMS, eye-tracking and more. CFIN is part of the Danish
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Job Description To support advancements in artificial intelligence (AI), machine learning, and data science at the University of Southern Denmark, the Maersk Mc-Kinney Moller Institute invites
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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science applications Computational Atomic-scale Materials Design with a focus on materials modeling and discovery with electronic structure calculations and machine learning Luminescence Physics and
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer