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27 Mar 2026 Job Information Organisation/Company Kyoto Prefectural University of Medicine Department Department of Forensic Medicine Research Field Chemistry Pharmacological sciences Technology
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at: www.fz-juelich.de/gp/Careers_Docs Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
well as ensuring that email addresses are accurately provided for three-letters of reference to be submitted. Quick Link https://unc.peopleadmin.com/postings/315336 Department Contact Information Department Contact
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systems to emerging AI tools -- affects physician decision-making, and to develop new measures of provider productivity. The work involves large-scale EHR data in cloud environments (Google Cloud Platform
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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agreement can be found on the BMI website (pay scale table on page 69 and following of the PDF download): https://go.fzj.de/bmi.tvoed Further Information: hds-lee@fz-juelich.de We welcome applications from
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-on training in quantitative policy research in economics. You will gain experience in: Working with large-scale and high-dimensional datasets Data construction, including web scraping Spatial analysis (e.g
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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: PHD Thesis Job description: Your Job: Develop methods and workflows to construct robust co-regulation networks from large
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network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing