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using languages such as Python, R, and Bash. · Experience developing, implementing, and optimizing computational pipelines and bioinformatics tools for large-scale genomic datasets. · Strong
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Programme? Not funded by a EU programme Reference Number DR/112/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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Programme? Not funded by a EU programme Reference Number DR/114/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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, mathematical modeling, optimization, and scientific computing. Experience in computational imaging, inverse problem solving, machine learning, or artificial intelligence is highly desirable. Excellent
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-oriented validation experiments, and analyze the resulting data rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and
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: (i) improving irrigation efficiency; (ii) optimizing on-farm strategies for managed aquifer recharge; and (iii) assessing the long-term impacts of irrigated agriculture on crop production, soil health
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of Palliative Care within the Division of Primary Care, Palliative Care, and Preventive Medicine, is part of a consortium to deliver AI4HOPE (Artificial Intelligence-based Health, Optimism, Purpose, and Endurance
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role in building up an ambitious research programme at the interface of diamond nanofabrication, Brillouin/cavity optomechanics, and quantum technologies. Key Responsibilities • Diamond
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(UTC) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 14 hours ago
products and manufacturing processes. The research will contribute to the development of scientific principles, evaluation strategies, and best practices for the use of computational models and AI-enabled