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within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee at NTNU, it is important that
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide complementary information on 3D structure (GEDI lidar, BIOMASS P-band radar, NISAR L-band radar) and high...
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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educational programs in Computer Science, we are now seeking 1-2 PhD Students with a focus on Cryptography and Cybersecurity. The Department of Computing Science at Umeå University is an international
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Region and Forbes Canada’s Best Employers! As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible
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interconnects for next-generation AI compute clusters. Information The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a
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are excited to work across disciplines and contribute to cutting-edge research at the interface of biology, chemistry, imaging, computation, and AI. Molecular Perturbations: Chemistry Engineering Biology
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minimum eligibility criteria for admission. In addition to the minimum eligibility criteria, the candidate should possess the below desirable criteria: - Background in computer science, AI, bioinformatics
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research will
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sites, highly engineered geological repositories or in the marine environment. However, redox controls on porewater chemistry in these environments is poorly understood and requires robust datasets