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for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists and
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of music, trade, food and culture. We are in pursuit of the brightest minds in biomedical sciences, individuals poised to contribute to our research progress. Other than access to top-quality scientists and
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Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization
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generations of scientists, forging tighter ties with industry and entrepreneurs, and creating new educational opportunities for graduate and undergraduate students. Dr. Ong’s lab is at the forefront
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dynamic environment where scientists, engineers, clinicians, and industry partners collaborate to shape the future of cancer treatment technologies. Your colleagues You will join a multidisciplinary team of
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, statistics, and/or computer science. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets for clinical research, focusing on malignancies including breast and lung
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research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with
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Job Description If you are establishing your career as a scientist and are eager to apply your skills in metabolic engineering, synthetic biology, and microbial biotechnology, this is your