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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
Information Employment visa sponsorship is not available for this position. Community Information Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages
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the development of new externally funded research. Key activities will include: conducting high-quality research in AI and Data Science; organising, harmonising and analysing large, multimodal and multi-source
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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/Province Madrid City Madrid Website http://www.nanociencia.imdea.org/ Street Faraday 9 Ciudad Universitaria de Cantoblanco Postal Code 28049 E-Mail [email protected] STATUS: EXPIRED X (formerly
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https://www.ubjobs.buffalo.edu/postings/64251 Employer State Faculty Appointment Term Term Position Type UUP Faculty Bargaining Unit 08 - UUP Posting Detail Information Fiscal Year 2026-2027 Position
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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LanguagesENGLISHLevelGood LanguagesLATVIANLevelExcellent Additional Information Work Location(s) Number of offers available1Company/InstituteFaculty of Education Sciences and PsychologyCountryLatviaGeofield Contact City Riga
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, and interpretation of large DAS and seismic datasets. Integrate distributed sensing observations with complementary geophysical and environmental data to improve urban subsurface imaging and monitoring