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/Administrative Internal Number: 25647 RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived
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. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human
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, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https://go.unl.edu/nondiscrimination Minimum Required
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http://www.unifi.it Requirements Additional Information Eligibility criteria Master’s degree in Computer Engineering or Master’s degree in Artificial Intelligence Eligible destination country/ies
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facility. Good understanding of how pre-analytical and laboratory methods can affect data quality. Quality control and analysis of large-scale proteomics data. Experience working in an accredited environment
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 11 days ago
subject to such restrictions. LanguagesENGLISHLevelGood Additional Information Website for additional job details https://adum.fr/as/ed/voirproposition.pl?site=adumR&matricule_prop=70054#version Work
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Posting Description RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived from
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Apr-26 Location: Big Rapids, Michigan Type: Full-time Categories: Other Staff/Administrative Staff/Administrative
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, ecological modelling. Ability to work collaboratively within large research networks (BOSFOR, PEPR FORESTT). Strong written and oral communication skills. Driving licence Additional Information Work Location(s
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guidance of senior analysts, the Assistant Director of Coding and Data Quality, and/or faculty using established statistical and analytical methodologies. Supports data linkages across multiple large scale