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Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good knowledge and proven skills with larger deep learning
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in coding and advanced mathematics is strongly desired. Coursework in theoretical areas including computational complexity, information theory are desired. Excellent communication skills and ability
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, or mixed-signal circuits, including SPICE and related tools is strongly desired. For algorithms projects, a strong background in coding and advanced mathematics is strongly desired. Coursework in theoretical
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science, mathematics, materials science, physics or a related subject (or comparable proven experiences) Practical experience in the area of data analysis, data mining and ML/DL demonstrated through, e.g., a thesis
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to educational events, such as hackathons, data challenges and courses Your Profile: Completed university studies (masters degree) and a doctoral degree in computer science, applied mathematics, computational
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Your Job: At IEK-9, we are developing exciting interdisciplinary methods to investigate the key mechanisms in batteries and electrolysis using pulsed NMR. By understanding the spin states that have to be experimentally prepared we are tailoring magnetic pulses to push the limits of NMR in...
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university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation to scientific computing Recent experience
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the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
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Networking with other initiatives in physics, chemistry, mathematics and materials science Develop scientific software for the data analysis inside the DAPHNE Program Conduct and disseminate world-class
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of curricula in the fields of physics and chemistry Networking with other initiatives in physics, chemistry, mathematics and materials science Develop scientific software for the data analysis inside the DAPHNE