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satisfactory performance. Applicants should have a Ph.D. degree in pharmacy, public health, epidemiology, biostatistics or other related disciplines, with post-doctoral research experience. Applicants with both
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Chemistry or a related degree. A good knowledge and/or experience in chemical experimental techniques is essential, as is the ability to work well in a team. Prior experience in the areas of computational
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skills. - Ability to work independently in outdoor field conditions and travel regionally as needed. Preferred Qualifications: - Experience in experimental design, QTL mapping, and statistical software
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Department: Location: Belknap Campus Time Type: Full time Worker Type: Temporary (Fixed Term) Job Req ID: R107135 Minimum Requirements: Ten (10) years of relevant experience or an equivalent
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techniques. Perform in vivo and in vitro experiments using imaging and electrophysiological techniques. Perform rodent surgical techniques. Maintain detailed and accurate notes of experimental results. Present
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methodology to real experimental data as well as implementation is also important aspect. Who are we looking for? We are looking for candidates with strong competences within the field of statistics. Applicants
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
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trapping and analysis using state-of-the-art nanopore experiments. About the Project Our group has pioneered the development of the Nanopore Electro-Osmotic Trap (NEOtrap), a groundbreaking technique that
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– with prior experience working with administrative data. Advanced skills in database management (i.e., SPSS,Excel) as well as advanced analytic approaches (i.e.,multivariate statistics) are required. SQL