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Research Post-Doctoral Associate is a unique position that offers a balanced 50/50 split between advanced clinical medicine and high-impact wildlife health research. This role is designed for a DVM (or
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (45%) Presentation publication, and proposal preparation (30%) Mentoring PhD and MSME
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (50%) Presentation publication, and proposal preparation (25%) Mentoring PhD and MSME
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Application Deadline 4 Sep 2026 - 12:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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Researcher (R3) Application Deadline 9 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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breeder in managing all aspects of a high-performing rice breeding program, including germplasm management, crossing, selection and re-selection, advancement, yield trials, seed increase, and purification
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or similar is therefore required • A substantial fraction of the technical part will be handled on high performance computers and the AI supercomputer GEFION, all operated in a Linux Environment. Documented
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computational platforms. • Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. • Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and