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science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML
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Department of Kinesiology and Health, School of Arts and Sciences. The Postdoctoral Associate will work with Dr. Peixuan Zheng on a DoD/DoW funded project investigating cognitive health, vascular function
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PDB located at Rutgers University – New Brunswick. Standing, sitting, walking, talking or hearing. Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written
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, walking, talking or hearing. Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written information/data, etc. Ability to perform physical labor without
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School of Arts & Sciences, Newark ( SASN ) is to advance understanding of the brain’s structure and function through excellence in neuroscience research and training. Our researchers pursue this goal
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MITRE . Background in and practical experience with data science, machine learning, and software engineering Background in deep learning, computer vision, LLMs, visual language models, agentic AI, AI
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the ability to work independently. Strong programming skills, particularly in Python, and experience with other programming languages or tools such as JavaScript, SQL , Java, C/C++, or Visual Basic
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, PhD, EdD) in a relevant field. Certified Export Compliance Officer or similar credential. Experience with compliance software (e.g., Visual Compliance) and secure data systems. Experience engaging with
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, Aging, and Brain Health Laboratory on an NIH -funded project investigating relationships between physical fitness-related measures, Alzheimer’s disease biomarkers, and cognitive function in
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an interdisciplinary perspective. Can nostalgia be defined, and how does it function both in the past and in our current cultural moment? How is it evoked in literary, artistic, and cultural