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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
USNH Employees should apply within Workday through the Jobs Hub app The Department of Civil and Environmental Engineering in the College of Engineering and Physical Sciences at the University
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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partners in the European project, in particular also with the research partner at the Royal Military Academy in Belgium, who is doing the Computational Fluid Dynamics (CFD) simulations to estimate
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation across both physical and digital technologies, to deliver a cyber
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of bespoke probabilistic models and/or evolutionary simulations, robust knowledge of and an affinity towards mathematical, computational or probabilistic modeling are important. Further skills in modeling and