47 parallel-and-distributed-computing-phd PhD positions at Forschungszentrum Jülich in Germany
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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pair distribution function (PDF) data for structure refinement and modelling of heterogeneous catalysts Publication of results in peer-reviewed scientific journals and presentation at conferences Your
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equipment Opportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and
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one (or more) of the following areas is desirable: electrochemistry, additive manufacturing High motivation for pursuing a PhD within 3 years Excellent organizational skills Ability to show initiative
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in geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., matlab, phyton, C/C++) and parallel
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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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opportunity to actively shape the transformation. You can expect a varied programme: A highly motivated working group as well as an international and interdisciplinary working environment in one of the largest
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data