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tasks: Scientific and technical activities inherent to Activity 3 in the THESIILO project (0437_THESILO_4_E), namely, the design, simulation, and optimization of an integrated heat exchanger mediating
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
) Develop new tools to promote collaboration in the co-design of hospital initiatives with high potential to improve environmental sustainability; c) Evaluate competing and interconnected hospital initiatives
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10th April 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Edge AI Accelerator Design Apply for this job See advertisement This is NTNU
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microbiota and brain development. • Familiarity with in vitro techniques to study brain barrier integrity and cellular communication. • Expertise in experimental design
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more about the School of Engineering: https://www.rmit.edu.au/about/schools-colleges/engineering About You To be successful for this appointment, you will have: Demonstrated ability to prepare
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to Artificial Intelligence, Cybersecurity, Systems Analysis and Design, Software Engineering, and Database Management. Minimum Qualifications A doctoral degree in MIS or a closely related field by the time the
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for this position is $78,900 - $167,300 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and
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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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Centered on material design, fabrication, and application, this field engages in fundamental research and frontier applications of new materials, covering the complete chain from microscopic
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to generative models, and fairness in generative systems. 2. Design and Development: Develop evolutionary representations and operators for exploring latent spaces of generative models, focusing on the discovery