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- Epigenomics, Machine Learning & 3D Genome Biology Employer NYU Langone Health, Skok Lab Location New York City, New York (US) Salary Postdoc: $70,000+ annually, plus benefits; Senior Computational Biologist
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 20 days ago
future. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned
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structural testing, nonlinear finite element modelling, manufacturing-aware optimisation and AI-informed modelling. The project aims to develop lighter, more efficient structural profiles, targeting
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 8 hours ago
societal problems. Interdisciplinary research clusters that cross Division and School boundaries are a vital element of our Scholarly community. The School of Data and Information Sciences is focused on
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 1 month ago
societal problems. Interdisciplinary research clusters that cross Division and School boundaries are a vital element of our Scholarly community. The School of Data and Information Sciences is focused on
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help develop personalised models. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as
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Laboratoire Modélisation et Simulation Multi Echelle UMR 8208 | Créteil, Île-de-France | France | about 2 months ago
, machine learning and numerical modeling. The work will focus in particular on characterizing fluid flow within the vascular network during mechanical loading, estimating the spatial distribution of LCN
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a related discipline. Candidates from GIS, remote sensing, or ecology backgrounds are also encouraged to apply, particularly those with practical experience in UAV data processing, machine learning
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help develop personalised models. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as
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experience in linear programming, game theory, operations research, machine learning, or a related field is preferred. Candidates must be ready to contribute to the development of new or existing