1,651 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" positions at Nature Careers
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Job Description The Clinical Research Associate I OR II-RN is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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want to reimagine therapeutic innovation and design. We are hence particularly excited about candidates with a proven background in highly scalable perturbation-based technologies with data-rich readouts
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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) methods to detect electrical conductivity contrasts at reservoir depth. As part of the joint project, the results of the EM methods will be combined with other geophysical and petrophysical data. In
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The Sr Clinical Research Associate is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors case report forms. Ensures
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team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our
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for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility of the Medical Univeristy of Vienna and the Univeristy of Vienna (JMF), and support Centre
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the Department of Structural Biology, are seeking a highly motivated computational chemist interested in applying state-of-the-art techniques in computer-aided drug design to discover novel small molecule
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of Federated Information Systems is seeking for the next possible date a Scientific Project Coordinator in part-time (80%) Reference number: 2026-0045 We are seeking a highly motivated scientific project