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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 1 yr Required License/Registration/Certification None Physical Requirements This position requires regularly
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; experience performing basic laboratory procedures to process biological specimens may be desired; computer skill required with knowledge of database software applications desired. FUNCTION/SUBFUNCTION
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laboratory procedures to process biological specimens may be desired; computer skill required with knowledge of database software applications desired. Final candidates are subject to successful completion
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an office setting. Occasional (10-33%) standing, pushing, pulling and grasping. Frequent (34-66%) reaching and viewing a computer and other types of close visual work. Constant (67-100%) sitting, walking
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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defined by the relevant HRZZ competition, relating to possession of ORCID identity (https://orcid.org/ ) and conditions related to the period from obtaining the doctorate �.l Additional Information
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of geophysics Other conditions defined by the relevant HRZZ competition, relating to possession of ORCID identity (https://orcid.org/ ) and conditions related to the period from obtaining the doctorate Additional
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of chemistry Other conditions defined by the relevant HRZZ competition, relating to possession of ORCID identity (https://orcid.org/ ) and conditions related to the period from obtaining the doctorate Additional
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of chemistry Other conditions defined by the relevant HRZZ competition, relating to possession of ORCID identity (https://orcid.org/ ) and conditions related to the period from obtaining the doctorate Additional