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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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policy, political science, computer science, or a related field; a demonstrated track record of conducting research in partnership with charter schools and/or major US school districts; and strong
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Join the Veldhorst Group, pioneers in germanium-based quantum computing and simulation. Job description After a successful first hire for this research topic, we are looking for a second
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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
. The Durability, Damage Tolerance, and Reliability Branch (DDTRB) conducts a broad-based research and technology program that quantifies behavior, durability, and damage tolerance of structural materials; develops
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12 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Other Engineering » Chemical engineering Technology » Environmental technology
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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degree, in speech or audio processing, machine learning, signal processing, computer science, electrical engineering, or a related field. Strong interest in doctoral research on audio deepfake detection