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Field
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part
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(strongly preferred) Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred) We prefer research assistants who want to become professional economists, but we’re
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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Application Deadline 20 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Programme? Not funded by a EU programme Reference Number TEC-2024/TEC-459 Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Fabrication of specific
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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international partners within the DFG priority program SPP 2389 “Emergent functions of bacterial multicellularity ” • Participation in the excellent graduate education programs at Osnabrück University (ZePrOS
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program unless research training is the primary focus. Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future. Duke is an Equal Opportunity Employer committed
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2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number UAIND24-14-I2 Is the Job related to staff position within a Research Infrastructure? No