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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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union dues deductions authorizations within contractual agreement parameters. Responds appropriately to changes in all processes. All authorizations must be processed promptly upon receipt. Processed dues
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; e) Certified technical-professional training related to the areas listed above; f) Experience in delivering oral or poster communications at scientific conferences; g) Basic computer skills from a
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Location Lexington, KY Grade Level 05 Salary Range $15.00-22.60/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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 29 days ago
, loan of computer equipment, etc.) According to legal scale: 4.50€ / hour Selection process Please attach your resume and cover letter Website for additional job details https://jobs.inria.fr/public
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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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Location Lexington, KY Grade Level 05 Salary Range $15.00-22.60/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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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2