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research in this field employs high-resolution imaging, in vivo electrophysiology, genetic and genomic manipulation (e.g., CRISPR, RNAi), and computational/bioinformatic modeling to uncover how neural
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Natural Language Processing, Applied Computer Vision Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine
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a high field strength magnet, RF transmitter, RF receiver and computer. Under general supervision, the incumbent will independently perform MRI examinations using the established exam protocols
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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and Licensed by the State of Arkansas in Radiology Technology. Knowledge, Skills, & Abilities: Strong knowledge of radiographic imaging techniques and patient care protocols. Ability to work
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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Instrumentation, Laboratory Techniques, Method Development, Microscopies, Molecular Biology, Molecular Microbiology, Pathogenesis, Quality Control (QC), Recordkeeping, Researching, Software Program, Working
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Mar-26 Location: New York, New York Type: Full-time Categories: Academic/Faculty Physical Sciences Internal Number