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information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 1 yr Required License/Registration/Certification None Physical Requirements This position
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or clinical laboratory environment. Required License No If yes, what is the required licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
; ability to learn changing technologies related to grants and contracts management and federal guidelines and regulations; excellent computer skills, including proficiency with Microsoft Office (Word and
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Network (LEARN) at Rutgers, the State University of New Jersey is seeking an energetic and passionate labor educator to join our teaching staff as non-credit instructors. We are looking for someone who can
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knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number of offers available1Company/InstituteDepartment of Computer ScienceCountryAustriaCityInnsbruckPostal
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, pathology and outcome data Multi-agent and predictive AI development: Develop machine-learning components for patient-trajectory modelling, recurrence and survival prediction, and integrate them
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 1 hour ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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About Us For more than 60 years, Kennesaw State University has been known for its entrepreneurial spirit and sense of community. A leader in innovative teaching and learning, Kennesaw State is
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be found at: https://syllabi.iu.edu/ Responsibilities Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes: · Teach graduate courses in the LIS
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faculty position at the interface between machine learning and physics. Applicants will be considered at all ranks. We anticipate hiring faculty working on advancing machine learning methodology as applied