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genomics, multi-omics, and artificial intelligence to predict and prevent disease trajectories through precision medicines tailored to the right patient at the right time. Our vision is to create digital
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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, and physical systems. The successful candidate will contribute to cutting-edge research at the intersection of artificial intelligence, computational science, and engineering. Current Research
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communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment
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7 Jul 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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to U.S. News rankings, our Graduate Degree is currently listed as the 6th best among the public universities in the nation for Statistics. Based on the quality of our program, Statistics at Texas A&M is
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position within the Rinn Artificial Intelligence – Research & Innovation in Data Science and AI funded by Research Ireland within the School of Computer Science and Information Technology and this position
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teams. Ensures adherence to ethical guidelines for the use of patient data in research and development. Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to
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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