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with disabilities. Location Omaha, NE Requisition Number: Staff_14138 Department Pathology, Microbiology & Immunology 50000521 Business Unit College of Medicine Reg-Temp Full-Time Regular Work Schedule
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according to specifications using appropriate programming languages, tools, development methodologies, and adhering to best practices, while communicating progress, and delivering within scheduled timelines 3
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of health technologies and interactive visualization and dashboards is a plus. Work Schedule Monday – Friday 8:00 a.m. – 4:30 p.m. May need to work/travel beyond normal work schedule Posting Date 07/30/2025
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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theoretical foundations, algorithm development, and experimental validation through state-of-the-art robotics and imaging facilities. The Research Coordinator will work closely with students, postdoctoral
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | about 20 hours ago
healthcare program this is an excellent opportunity for you. Are looking for a hybrid schedule, state benefits, and meaningful work? Come join our team. GENERAL SUMMARY OF POSITION: Under the general
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media including Facebook, Twitter, Instagram, YouTube, LinkedIn, and TikTok as well as excellent understanding of algorithms and platform best practices. - Storyteller at heart with strong writing skills
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multimodal and 3D bioimage analysis. You will report directly to both Dr. Shyamal Mosalaganti and Dr. Herman Fung and will work a hybrid work schedule consisting of 3-4 days onsite and 1-2 days remote
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meetings and events, coordinating schedules, reviewing expense and budget information, and collecting and compiling recruitment data. Organizational Status The Administrative Assistant reports directly to Dr
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for the position of assistant professor in the project NCN MAESTRO "Challenging problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning