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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
background in reinforcement learning, diffusion models, and geometric deep learning. 3. Candidates with experience working with antibody (or other molecule or material) design will be considered a significant
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-A of the Research Fellowship Statute; Updated document proving compliance with the exclusive dedication regime. Contract The contract model to be used will be in follow the FCT scholarship holder
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in foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports. You are suited for this position
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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effort lies in understanding the workings of the energetic Sun. To attack this goal a concerted effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high
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molecular responses to whole-organism effects, we will combine targeted physiological measurements with multi-omics (proteomics, metabolomics, lipidomics) and phenotypic end-points. As our model system, we
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these exotic systems launch outflows in the form of relativistic jets. In this role, you will work with existing team members to apply and further develop novel techniques for modelling high angular resolution
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or several of the following areas: Groundwater hydrogeochemistry (e.g., reactive transport, tracers, biogeochemical processes), Groundwater flow modelling, Noble gas isotope mass spectrometry, Carbon
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: Conduct catalytic experiments using advanced transient methods based on mass-spectrometry and surface spectroscopy Develop mathematical models to interpret these data in terms of molecular reaction
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-spectrometry Develop mathematical models to interpret these data in terms of molecular reaction mechanisms Engage in regular internal meetings, seminars, and journal clubs Engage in international collaborations