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Field
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with high-performance computing (HPC) environment, cloud-based computation, software tools for genetic epidemiologic analyses (e.g. GWAS, whole-genome sequencing, polygenic score, Mendelian Randomization
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of cutting-edge tools, tailored initially for sector-specific challenges but transferable across industries. A pan-European Community of Practice will guide the work from start to finish, ensuring rapid
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. Resource Econ Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant
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roles of consumers enabled by digital tools, allowing citizens and energy communities to profit from local renewable sources. The main objectives of the project are: Matching demand and supply of skills
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
databases. Candidates must have experience conducting data analyses using one or more statistical tools including SAS, R, Stata, or Python Preferred Qualifications, Competencies, and Experience Candidates
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), optical, cryogenic, and synchrotron X-ray environments Fabricate photonic and metamaterial structures using advanced nanofabrication tools (e.g., lithography, dry etching) Contribute to the development and
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from a multi-layer perspective, focusing on SDN-controlled networks and vulnerabilities in virtualized scenarios. The work involves developing multi-layer risk models, creating risk mitigation tools
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methodologies, including image analysis tools, namely Particle Tracking Velocimetry (PTV), with a weighting of 50%; Knowledge and practical experience in the application of fluid mechanics to experimental systems