43 Computer Science "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD research jobs in France
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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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pretraining approaches that enable GeoFMs to generalize more effectively across a broad range of real-world EO applications. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science
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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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production of high-quality scientific articles Close cooperation with an interdisciplinary team of neuroscientists, computer scientists and clinicians Your Profile Excellent university degree (Master) in
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hyperpolarized spin states Constructing instrumentation to do low-field NMR experiments Your Profile Current master studies in physics, chemistry, materials science or similar Basic experience with NMR is
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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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PhenoRob research environment. Your Profile We are looking for a highly motivated candidate who combines scientific curiosity with an interest in experimental and quantitative plant science. Excellent
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experimental diffraction data, with an emphasis on quantitative comparisons with simulations. Your Profile Excellent completed master's degree in physics, materials science, engineering or a related
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computer simulations. Knowledge in statistical mechanics, active and living matter. High degree of independence and commitment. Very good command of written and spoken English with extensive vocabulary is
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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