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Field
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Centre for Advanced Robotics Technology Innovation (CARTIN) is seeking a highly motivated Research Fellow to join our cutting-edge research team focused on high-speed vision perception
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in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
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expected to participate in independent laboratory research and to write scholarly manuscripts. Qualifications Minimum Qualifications: Ph.D. in neuroscience, biomedical engineering, computer science, data
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/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as VMWARE, and heterogeneous infrastructure
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UK time Sunday 18th May. Interviews are expected to take place on Wednesday 4th June. We recently launched our strategy to 2030 tying together our mission, vision and values. The University
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benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition
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insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution, no match or vesting required Life and Disability Insurance Paid Time Off: 20 days of vacation per
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an additional $680 monthly stipend for health, vision, and dental insurance. The fellow would also have a $500 budget for travel or local conference attendance, such as the California Society of American
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years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete
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Python, Java, or C++, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, FLOWER). Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and on-premise cloud platform such as