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practical tools deployable in real-world clinical settings. This work is central to a multidisciplinary collaboration bringing together experts in neuroscience, machine learning, and clinical informatics
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Applications: SAP Preferred Other Computer Applications: Canvas, PeopleSoft, Microsoft Project Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/96374
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electrochemical regeneration. This PhD project will develop next-generation computational tools to accelerate the discovery of such materials. The successful candidate will work at the interface of chemical
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, and health informatics, neurological computing and HPC systems). Further information on the Department can be found at http://www.cs.manchester.ac.uk/. The Department has a suite of in-house tools
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 10 days ago
was installed at IT4Innovations in 2025. For more details, see www.it4i.eu . Activity description: · modelling and optimization of electrical networks using open source tools (preferably Julia or Python
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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based on the new data generated, incorporating key variables identified in (i), and use statistical and machine learning methodologies to ensure high predictive accuracy and robustness; iii) validation
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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field with demonstrated competencies in Computer Information Technology and computing disciplines. Demonstrated competency in computer information technology concepts, tools, and applications. Proficiency