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Our group aims to simulate how stars and planets form and how black holes accrete. I am offering PhD projects in all areas of accretion physics. Possible PhD projects in star and planet formation
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
We welcome applications from candidates with a broad range of academic backgrounds and experiences for a 4-year PhD project on Mathematical and Machine Learning Aspects in Crystallography at Durham
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, and overall system cost. This PhD project focuses on the electronic integrated circuit components of optical communication systems, with particular emphasis on the transmitter (TX) driver and receiver
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Semiconductor Laboratory of the Max Planck Society (HLL), Garching | Garching an der Alz, Bayern | Germany | about 14 hours ago
technology specialists work closely together across the entire development chain — from fundamental research and simulation to device design, fabrication and experimental characterization. To strengthen our
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• Extract extracellular vesicles • In-vitro and in-vivo experiments • Collaborate with other research group members on synthetic and simulation work • Write manuscripts and reports to summarize
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well as to the geometric optimization of the separator, including the swirl generator. Mandatory requirements PhD in mechanical, naval or aerospace engineering, or a related field. Proven experience in numerical simulation
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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• Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024. • Strong knowledge and
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Description of the offer : The newly established Nanomagnetism Research Group at the Budapest University of Technology and Economics has open PhD and postdoctoral positions in the field
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This PhD project will develop intelligent, data-driven methods for integrating diverse autonomous vehicles, such as buses, shuttles, pods, cars and micromobility vehicles, into public transport