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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
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implementation of machine learning models for health analytics projects, focusing on early detection of Alzheimer’s using health and financial data, and building deep learning models to detect fake images, audio
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motions; intermittently standing or walking with objects weighing up to 25 pounds; and sitting at a computer workstation for extended periods of time; and occasionally working at heights above four feet and
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machine design, schematic capture, circuit simulation, PCB layout, and/or operation of cryogenic vacuum systems. Occasional travel and work assignments at high altitudes and in low-light environments
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thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and
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Excellent organizational and leadership skills Ability to multitask, prioritize, and manage team workflows effectively Basic computer skills in word processing, spread sheets, statistical analysis and
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state-of-the-art ophthalmic imaging technology and designs research studies using advanced technological systems. We seek a research coordinator with a high technical aptitude and willingness to learn
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, scanning documents using document imaging system, and assisting students and staff. The position may also assist in posting evaluated credit for nontraditional learning and processing degree plans
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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