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Field
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or equivalent Skills/Qualifications What we expect A doctoral degree (PhD) in science, preferably in systems biology, bioinformatics, (bio)-statistics, (computational) biology, computer science, engineering
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will encompass bio-informatician analysis, organ on-a chip development, small molecules testing, precision medicine trials, and development of a single cell platform. About Queen Mary At Queen Mary
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, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote
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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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multidisciplinary investigators across HSPM and EPI/BIOS. Collaborate with research staff, graduate students, and data analysts. Participate in team meetings and center activities within BDHSC. Essential Function Yes
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of biotechnology and biomedicine. Our engineering approach to all aspects of biotechnology and biomedicine positions us as a valuable player with unique competences in a growing bio-based economy and with health
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formed during lignin depolymerization assisted by catalytic hydrogen transfer. The valorization of lignin into bio-based compounds such as partially or fully deoxygenated hydrocarbons and aromatics is of
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engineering approach to all aspects of biotechnology and biomedicine positions us as a valuable player with unique competences in a growing bio-based economy and with health systems transforming towards
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical