840 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Cornell University in United States
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expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health
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supportive environment where you can develop, learn new things and grow your career then the Cornell University Hospital for Animals is for you! We want you! Do you want to use more of your technical skills
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Licensed Veterinary Technician (LVT I) - Nursing Care Units The best care starts with the best caregivers. Do you want to use more of your technical skills, learn advanced procedures, and help manage a
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Employees (10%) Audit and Compliance Tracking (10%) Continuous Learning and Development (5%) Other Position-related Responsibilities (5%) Success Factors You will be considered competitive for this role
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supporting HR reporting, compliance, communications, and learning and professional development. Collaboration & Coordination: Maintain a high degree of collaboration and coordination in the delivery of HR
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/excellence in using a variety of computer programs and demonstrated ability to utilize an array of software programs including publication software. Excellent communication skills, superior written, verbal
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Assisted Design (CAD) and advanced skills in mechanical maintenance, installation, and repair techniques Proficiency with standard hand and power tools, diagnostic equipment, machine shop, and material
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The Opportunity The ILR Office of Engaged & Experiential Programs (OEEP) seeks a Program Assistant to support a portfolio of experiential learning opportunities, including internships, global
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Tracking (10%) Continuous Learning and Development (5%) Other Position-related Responsibilities (5%) Success Factors You will be considered competitive for this role if you demonstrate: Ownership and sound
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners