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Field
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Intelligence, or a closely related discipline. Strong research background in AI and machine learning, with a focus on efficient or accelerated models. Proven experience with model compression techniques, such as
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science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign completed degrees
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serine recombinases (LSRs) and their directionality factors (RDFs) as a model. You will design, implement and benchmark machine learning pipelines for sequence-structure analysis and protein function
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Science and the Cognition and Perception Program of the Department of Psychology at New York University have a one-year postdoc position available, supported by our Visual Neuroscience Training Program. It
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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competence in machine learning and/or image analysis/computer vision Foreign completed degrees (master-level) must have completed an university education corresponding to a minimum of four years in
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benefits, including parental leave, an employee assistance program, fitness center membership, and the power of your Bucknell ID card To learn more about Bucknell's benefits, click here ! (*Eligibility
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and weaknesses for end-users. Help develop new or improve existing soil moisture estimates using NISAR and other datasets utilizing artificial intelligence (AI) and machine learning. The outcome from
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basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion