30 data "https:" "https:" "https:" "https:" "Wrocław University of Science and Technology" PhD positions at University of Southern Denmark in Denmark
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. For further information please contact Professor Carsten Uhd Nielsen, e-mail: cun@sdu.dk Website: https://www.sdu.dk/da/forskning/farmaci-sektionen/forskere/researcherswithinsection/carsten-uhd-nielsen
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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/stillinger . Further information For information about the Mads Clausen Institute and SDU CAPE, please see www.sdu.dk/en/mci and https://www.sdu.dk/en/forskning/cape . Further information about this position
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-of-the-art equipment, facilities, and infrastructure. • A competitive salary and social benefits (e.g., health coverage, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff
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, parental leave, social security, etc.) (https://www.sdu.dk/en/om-sdu/international-staff/getting-settled ) Workplace description POLIMA is located at the University of Southern Denmark in Odense – 1h15min by
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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. Project Description Dynamic assessment of bone and joint motion remains a major challenge in musculoskeletal imaging. While MRI and CT provide high-resolution anatomical information, they are limited in
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project is funded by the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based
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single‑photon detector (SNSPD). Additional responsibilities include developing efficient coupling of free‑space optics to optical fibers, conducting extended data‑taking runs with TES and SNSPD systems
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across news outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people