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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
personalized recommendations and improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative
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developmental activities, with motivation to prepare and implement grant projects, acquire commercial contracts, and potentially engage in teaching activities. The Department of Neutron and Ion Methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Hiring Range $62,000 - $65,000, dependent on experience Proposed Start Date 08/03/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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innovation with clinical relevance and real-world impact. Postdoctoral Researcher Explainable AI and Foundation Models for CT Imaging Our goal: To develop and validate novel AI methods that enhance
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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and
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., 2024). In a wider context, crack detection has received a lot of attention and, since some preliminary attempts such as DeepCrack (Liu et al., 2019), numerous methods using deep learning have been
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applies quantum mechanics-based methods for the description of condensed matter systems, including the successful software package VASP (Vienna ab-initio Simulation Package). We focus on the development
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, Environmental Science, Economics, Anthropology, Sociology, Political Science, or related fields. - Demonstrated experience in mixed-methods research, including the use of quantitative and qualitative data
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the Job related to staff position within a Research Infrastructure? No Offer Description DATE OF PUBLICATION 31 MARCH 2026 The aim of the project is to develop and optimize an innovative method
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as a one‐year appointment, but renewable annually based on performance. The position involves postdoctoral work in developing efficient methods and tools for analyzing large-scale biomedical data with