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Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new
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collaboration with energy system modelers Your Profile Completed master's degree in a STEM field; a degree in computer science, data science, or an AI-related discipline is preferred Strong interest in
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familiarise yourself with new methods or new scientific challenges Interest in issues about nanoelectronics and surface science. Previous knowledge in low-dimensional materials and surface
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the specific projects above you seek to join, your profile should cover some of the skills listed below. Masters degree in electrical/electronic engineering, computer science, computer engineering
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; funding for doctoral and postdoctoral researchers; a highly interdisciplinary environment involving computer science, medicine, immunology and systems biology; opportunities to develop national and
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and prepare your doctoral thesis Your Profile Your qualifications and technical background include: An excellent master’s degree or equivalent in computer science, data science, applied mathematics
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, computer science, physics, data science, or a related discipline A strong interest in translational psychiatry, neuroimaging and computational neuroscience, and a motivation to work in an interdisciplinary
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for reproducible science contribute to the HDS-LEE graduate program through active engagement Your Profile A Master's degree with a strong academic background in physics, mathematics, computer science
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or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics or the like Strong mathematical background Interest in energy systems, power grids and their components
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. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience