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work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events Brookhaven National Laboratory is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Title BDC Post-Doc Research Associate Vacancy ID PDS004619 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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-looking vision for a 21st-century education, and a deep commitment to promoting inclusion, we open a world of opportunity to students and empower them to make a difference around the world. Through learning
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docking and machine learning. Among the key duties of the position are the following: Performs various research and technical operations relative to ongoing investigatory activities of a laboratory; may
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) Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine
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combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events
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: Post Dr Assoc Job Family: Post Doc Other Level: No Grade - Annual Pay Rate Type: Salary Pay Range: $61,008.00 - $87,000.00 Remote Option Availability: Onsite Company: Endowed Contact Name: Donna Patykula
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biogeochemical model using times series forecasting and machine learning. The Post Doc will focus on one or two of the questions depending on their expertise and interest. Minimum Acceptable Education & Experience
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Job Description Apply now Req Id: 37118 Job Title: Post Doc Associate City: West Lafayette Job Description: Job Summary Purdue University is a public land-grant research university in West Lafayette
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is