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for submission to premier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR). Convert research prototypes into scalable, deployable software systems or proof-of-concept demos. Design, code, and optimize robust deep learning
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University policy relevant to the duties undertaken, including but not exclusive to: The University’s Code of Conduct . Requirements of the Queensland occupational health and safety (OH&S) legislation and
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instructions or procedures and has knowledge of public security codes, policies, and regulations. They are flexible, customer-service oriented, and skilled in providing protection services to individuals
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | 1 day ago
knowledge of coding, CDM, charge capture, and auditing to solve complex charging scenarios, provide education and assistance to operational departments, support fellow team members, and develop processes
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Classification Title: Clinical Coder III Classification Minimum Requirements: High school diploma or equivalent and five years of experience in professional medical coding, with experience in two
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into a working MVP fast enough to support the next grant application round. Main duties and responsibilities Rebuild the RVI scoring engine as clean, standalone Python code, implementing the validated
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behavior and immunology. Design and perform experiments, develop and adapt research assays, and analyze experimental data using coding and appropriate statistical methods. Essential Job Duties Conceive
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- FACC 300 - Winter 2027 - sec 002 & 006 Hiring Unit: Faculty of Engineering Dean’s Office Course Subject Code and Title: FACC 300 Engineering Economy Term: Winter 2027 Number of credits: 3 Salary: $11 824
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- FACC 300 - Winter 2027 - sec 001 & 005 Hiring Unit: Faculty of Engineering Dean’s Office Course Subject Code and Title: FACC 300 Engineering Economy Term: Winter 2027 Number of credits: 3 Salary: $11 824
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: Department of Electrical & Computer Engineering Term: Winter 2027 Course subject code: ECSE 206 Course Title: Introduction to Signals and Systems Course Credits: 3 credits Location: RPHYS 112 Schedule