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PhD project that will use state-of-the-art machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible
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Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization
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and system performance, including spray nozzles, pumps, flow control, PWM technologies, sensors, and other application hardware, using engineering and field data to improve agronomic outcomes
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installation of variable frequency drives, campus mass warning signals, traffic/pedestrian control signals, utility electric meters, and mechanical flow meters. Utilize utility locating equipment to
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start from a droplet-on-demand platform for millimeter-sized molten-tin droplets, with systematic control over ambient pressure, substrate temperature, impact velocity, and surface properties, combined
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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research
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lab’s webpage for more information: https://www.umu.se/en/research/groups/andreas-kohler/ Project description While protein quality control (PQC) systems for mitochondrial proteins encoded by nuclear
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, reaction kinetics, mass and heat transfer, phase equilibria, fluid flow, and process control and operation Collaborate with other members of the research group and external partners to achieve project goals
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ecosystem structure, energy flow, biogeochemical cycles, population growth and regulation and environmental policy. Applied topics include human population growth, agriculture and food production
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immunology Department and School: Department of Pathology, Yale School of Medicine Anticipated Appointment Dates: Fall 2025 to Fall 2026 Email: [email protected] Website: https://medicine.yale.edu