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-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/8278 After the notification
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Behavior CHHB Posting Number R260013 Posting Link https://www.ubjobs.buffalo.edu/postings/60742 Employer Research Foundation Position Type RF Clerical/Technical Job Type Part-Time Appointment Term Salary
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: 281113699 Postdoctoral Research Associate D-25-ECE-00003 | Research | Electrical and Computer Engineering The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more
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/certification? Required Computer Applications: Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Preferred Education: If any degree/training is preferred, please specify
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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required. Computer literacy required. Keen professional communication skills required. Excellent written, organizational, communication, and interpersonal skills required. Must have strong problem-solving
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Compensation Estimator to calculate the total compensation value with benefits. Qualifications Experience in matters relevant to business transactions, state and federal contracts, and intellectual property
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the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications
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University of California, San Francisco | San Francisco, California | United States | about 23 hours ago
): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time