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Doctoral Focal Award programme, you will join a cohort of researchers tackling major environmental challenges through engineering biology. This provides access to specialist training, industry engagement
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 17 hours ago
organization. The Research Associate Program provides promising scientists and engineers with the opportunity to work in a challenging research environment during the early stages of their career. Applicants
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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great
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program in neuroscience at NTNU. Required selection criteria Masters' degree in mathematics, physics, neuroscience or computer science. Your education must correspond to a five-year Norwegian degree program
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as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in civil and environmental engineering within three months of your employment contract start date, and that you
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, Computer Science, Engineering and Molecular Medicine. Applicants must hold, or anticipate receiving before starting at EMBL, a university degree that would formally qualify them to enter a PhD or equivalent
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offer visa sponsorship for this role. Candidate requirements The successful candidate should have a good honours degree or a master’s degree in computer science, mathematics, civil engineering, mechanical
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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...