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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 6 days ago
have lasting effects on education, training, and employment outcomes, and what enables recovery or resilience? The PhD candidate will be expected to work with large-scale longitudinal and administrative
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 minutes ago
Posting Information Posting Information Department Physics and Astronomy - 319000 Posting Open Date 04/02/2026 Application Deadline 05/15/2026 Open Until Filled No Position Type Permanent Faculty
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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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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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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Midlands Graduate School Doctoral Training Partnership; | Loughborough, England | United Kingdom | 2 months ago
for teachers. The project builds on Numeralis, an adaptive screening instrument comprising cognitive and mathematics tasks. The project combines secondary data analysis, large-scale pupil screening
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Posting Title Graduate PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 2 months ago
industrial policy. Evidence will be generated using firm-level data and ownership information on UK multinationals and their subsidiaries. The successful candidate will contribute to a growing field with
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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