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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 3 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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candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below. Discover the possible Anything is possible at the NRC, named in 2025 one
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to organize ideas and information, and to communicate them in both one on one, team, and large group settings. Analytical and evidence-based decision-making skills. Ability to prioritize and work effectively
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cooking for large groups preferred Managerial and organizational skills Driving required for some Managers (driving or non-driving descriptions) to coordinate delivery or pick up of the food order Preferred
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publications such as research reports, op-eds, academic articles, and book chapters. Planning and conducting research for high-level events, including private working groups and large public events. Other
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research for high-level events, including private working groups and large public events. Other related job duties, as required. Qualifications Basic Qualifications: Bachelor’s degree required. Additional
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research for high-level events, including private working groups and large public events; includes managing the planning and research related to the Belfer Center’s China Working Group. • Other related
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Student Research Assistant Job
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19 Jan 2026 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Application Deadline 19 Jan 2038 - 03:14 (UTC) Country
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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