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interdisciplinary approach combines fundamental analysis, experimentation, and mathematical modeling to create a flexible bio-separation platform. A cohort of 12 doctoral candidates will be trained and experience
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interdisciplinary approach combines fundamental analysis, experimentation, and mathematical modeling to create a flexible bioseparation platform. A cohort of 12 doctoral candidates will be trained and experience
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are a strong motivation for original research, self-initiative, and a collaborative approach. Your Profile: Masters and subsequent Ph.D. degree in theoretical Physics/Electrical Engineering, Mathematics
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Your Profile: Master and Doctoral degree in the field of Physics, Chemistry, Mathematics, Medicine or in a related field Interest in computational and experimental methods to investigate membrane
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scientific papers Contributing to educational events, such as courses and hackathons Your Profile: Excellent Master or PhD degree in Computer Science, Mathematics, Physics, or similar fields Good knowledge in
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in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum technology Strong mathematical education, in particular in relation to linear algebra Strong
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Solid fundament in mathematics and physics Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your
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: Very good Master’s and subsequent PhD degree in computational engineering, simulation science, physics, applied mathematics or a relevant discipline Expert knowledge in optimization; experience in
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. Your Profile: Excellent masters and doctoral degree in physics, mathematics or a comparable field Excellent knowledge of quantum computation and information theory Strong skills in programming (e.g
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benchmark them with a realistic case study. The main focus of the project can develop either more in the mathematical theory of MCMC, the implementation of code for the Jülich supercomputers (GPU/CPU