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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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Location Lexington, KY Grade Level 06 Salary Range $18.20-24.82/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https
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English speech and writing skills and proven experience in editing and scientific writing. Must be highly computer literate with experience in MS Office and Adobe Software and be able to manage scientific
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here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 1 yr Required License/Registration/Certification Nationally certified
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, Spring, and/or Summer OU class schedule Skills: Basic Math and Computer Experience Advertised Physical Requirements: Must be able to shelve books near the floor and above 5 feet Must be able to lift 50 lbs
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licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint Required Other Computer Applications: MATLAB and/or Python Required Additional Knowledge, Skills
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partners. Subject area for the position: Computer and information science Location until further notice: Växjö. Since Linnaeus University is located in both Växjö and Kalmar, travel between the two may be
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements This position
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Lexington, KY Grade Level 08 Salary Range $19.00-30.09/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu