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bioinformatics support, and training and networking supports through our leading role in the Canadian Islet Research and Training Network (www.islets.ca ). Duties Specific duties will depend on the project focus
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design concepts, integrated data collection and analysis methods. The participant will have the opportunity to learn more in-depth statistical analysis techniques or molecular biology tools (bioinformatics
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-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by
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culture and bioinformatics. The intended start date, though flexible, is November 1st, 2025 – January 1st, 2026. Essential Functions Conduct research experiments in a particular field within the pre
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was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you Applicants should have a good honors degree in RF / Microwave or Electronic engineering. Preference will be given
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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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or single nuclei RNA sequencing, including laboratory and analytic methods. The ideal candidate will perform both in vitro laboratory methods and bioinformatics analyses. Salaries are based
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
development issues. Minimum Education and Experience Requirements PhD in Biostatistics, Bioinformatics, Data Science, Pharmaceutical Sciences, Computer Science, Regulatory Science, or related fields. Required
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working with invertebrate model organisms and with experience in experimental and bioinformatics analyses of repetitive genome sequences. Where to apply E-mail natjecaji.pisarnica@irb.hr Requirements
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engineering, statistics, and bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications