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advanced network analysis combined with Large Language Models (LLMs) to develop robust predictive models for MS progression. General description of the DDLS program Data-driven life sciences (DDLS) use data
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for jobs. For further information, please contact the Disability Officer for Academic Staff at behindertenvertrauensperson-br1@uibk.ac.at . Where to apply Website https://lfuonline.uibk.ac.at/public
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of points within a short time, yielding large amounts of data that need to be visualized and analysed instantaneously during a beam time. Additionally, the varied possibilities at the beamline generate
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47 Salary Range $57,158-94,286/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
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23 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
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The Stankovic Laboratory at Stanford University School of Medicine seeks a highly motivated research scholar with expertise in data science, epidemiology, and computational analysis of large-scale
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developed by extending the existing platform through adoption or development of new components. Phase 2: Using big data insights to optimise the manufacturing process The second phase of this project will
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pay determined by rank and/or step at appointment. See https://ap.uci.edu/compensation/salary-scales/ : Professor and Professor of Teaching Series - Academic Year Regular Scales. 'Off-scale salaries