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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Numerical relativity, machine learning Where to apply
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excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
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, Institute of Fundamental Technological Research, Polish Academy of Sciences (IPPT PAN). The position involves conducting research and research-and-development activities (experimental, numerical, and
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size and the optical fluence for instance, and (3) numerically modeling the hotspot measurement with the photoacoustic method to link the mesoscopic measurement with nanometric temperature levels and
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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their work on the NIH-funded project. We especially encourage applicants with demonstrated experience in Hispanic/Latino health and mixed-methods research. We also seek candidates who are eager to expand
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a solid platform for the PhD candidate. Job description The student will be involved in tasks such as: To collect air samples To apply microbiological methods such as qPCR and sequencing to identify
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, computational methods, numerical optimization, machine learning, data science, and mathematical modeling. Bailey College is committed to maintaining the excellence of the University and to offering our students a
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Job Purpose To make a leading contribution to “Numerical Modelling of Superconducting Cables” working with “Propulsion, Electrification & Superconductivity” group in the research disciplines