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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu
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that reflects how biological brains learn through embodied experience. For more information, visit https://sarvestanilab.com/ As a Postdoctoral Scientist in the Sarvestani Lab, you will have the chance to bring
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. · Strong background in machine learning/AI and hands-on experience with large, heterogeneous datasets. · Practical experience with computer vision and/or spatio-temporal modeling (object detection
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website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning and AI approaches. Integration
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resources, including the Talon High Performance Computing (HPC) Research Cluster, which supports data processing, high-dimensional analysis, machine learning, and related applications. Location Statesboro
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tools in research. Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques
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the compensation employees receive. Review more information at BNL | Benefits Program JOB DESCRIPTION: We are looking for a Postdoctoral Research Associate in theoretical condensed matter physics, with interests
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-2027. Potential areas of focus include but are not limited to software engineering, compiler, computer architecture, machine learning, artificial intelligence, human-machine interaction, and embedded
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strengths in experimental soft condensed matter physics or biophysics research within the department. Candidates with expertise in computational physics, including machine learning, applied to study soft
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professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. We have an outstanding opportunity for a Postdoctoral Scientist to join Dr. Mustafa