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must have been conferred within the three years prior to the invited full proposal submission deadline and at least one full-length original research publications as lead author. Applicants may be from
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Apply now to lead high-impact computational analyses that power evolutionary and developmental discoveries in the TREE Lab. Investing in you - 17% superannuation, benefits package including salary
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in shaping the programme’s computational research agenda. About You You will lead the computational analysis of legal, regulatory and political texts, using methods from computational social science
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We are looking for a postdoctoral researcher to join our project on Multimodal Interaction for Remote Physical Artefacts (MIRA), funded through an ERC Consolidator Grant. The project addresses
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of political scientists, legal scholars and practitioners, the postholder will play a central role in shaping the programme’s computational research agenda. About You You will lead the computational analysis
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crop protection products and other agricultural inputs. Research integrates agricultural engineering, physical sciences, and computational approaches to advance the understanding of atomization, spray
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publish as lead author. The terms are plain: a full-time salaried appointment of roughly one year, hybrid in the San Francisco East Bay, with relocation support and visa sponsorship for international
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requires working both in-person in Lansing at the Michigan Department of Agriculture and Rural Development (MDARD) and remotely. IMPORTANT NOTE: ***Do not use AI tools in any part of the application process
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
Position Overview The Center for Computational Medicine at The University of Texas at Austin invites applications for a Postdoctoral Fellow to lead innovative research at the interface