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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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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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publishing in peer-reviewed scientific journals Your Profile Master’s degree in electrical engineering, physics, computer science, or a related field Strong academic background in embedded AI and in the
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degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field. Proven ability to work as part of a team and collaborate on projects. Strong coding skills for
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program in electrical engineering, energy systems, computer science, data science, applied mathematics, industrial engineering, or a related field, and have demonstrated very good academic performance in
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electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including experience in
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, applied mathematics, computer science, computational engineering or a related discipline Sound knowledge of mathematical optimisation, control engineering or energy-management methods Experience 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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engineering, soil science, hydrology, plant science, environmental science, physics, engineering, applied mathematics or a related field Strong quantitative skills Interest in soil–plant water relations and
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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