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Field
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
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packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities and academic and industrial secondments. The position is allocated
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between multiscale flows involving ocean surface waves, submesoscale current, turbulence, and wind actions. The research aims to derive a highly accurate and efficient theoretical models by extending newly
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responsibilities The position involves analysis of JWST imaging and spectroscopic data from the project mentioned above. The work will involve analysis of the nebular, PAH and dust emission, modeling of embedded
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cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home We are looking for an enthusiastic, ambitious and experienced researcher to join the research team
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fear returns after exposure therapy and how it can be prevented. The role includes developing behavioral tasks and computational models, collecting and analysing behavioral, neuroimaging and clinical
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? Not funded by a EU programme Reference Number AE2026-0206 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt
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Investigate materials (electrode substrate, membrane and catalysts) Synthesis and interpretation of data Simple process simulation and modelling General lab organization and coordination Assist supervising PhD
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Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational
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techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous. Where to apply Website https