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-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meetings, conferences
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, computer science, data science, biophysics, or life science-related fields with a proven track record in bioinformatics, biophysics, data analysis, and simulation sciences Very good practical experience in molecular
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Your Profile: Required qualifications and skills: Scientific university degree (Master’s) followed by a PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge
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technology Fluent command of written and spoken English Leadership and communication skills Ability to work autonomously in close interaction within a team And most importantly: enthusiasm to explore uncharted
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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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Your Job: Quantum optimization (QO) is a promising, potentially disruptive technology for solving difficult optimization problems which is at the heart of energy system design and operation. While
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Your Job: Quantum computing is a promising, disruptive technology for solving optimization and simulation problems which is at the heart of energy grid design and operation. As part of a large