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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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: Developing, testing, and analyzing research results through empirical and computation methods to support projects funded by federal agencies with background in metallurgy, materials, additive manufacturing
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acquisition and data analysis methods for users i) Troubleshoot equipment failures, procure repair parts, implement repairs, supervise field service, and test equipment for proper function after repairs j
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interface between science and industrial applications, develop and test empirically motivated models and methods and produce knowledge that is both academically rigorous and practically relevant. Duties
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skills relevant to maintenance, repair, and modification of scientific instruments. Qualifications Experience with biological experimental design and implementation. Computer skills for instrument
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addition to wages, use our compensation calculator . Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in ! Desired Start Date Position End Date
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research teams, where you will receive extensive training and your work will directly contribute to the production of GBD estimates and related scientific publications. This is a two-year fellowship, with
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, and AI chatbot chats; (b) quantitative content analysis; (c)text mining and machine learning methods; (d) survey design and public opinion research; (e) election studies; (f) the Norwegian political