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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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Qualifications • Ph.D. in Civil/Electrical/Mechanical Engineering, Computer Science, Data Science, or a related field • Demonstrated expertise and publication record in computer vision, machine learning, 3D scene
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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such as cobalt and rare earth elements from dilute sources. The successful candidate will be responsible for applying advanced quantum mechanical methods to model metal–peptide binding interactions, guide
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publications in leading robotics and AI venues. Department Specific Qualifications Education: Ph.D. in Electrical and Computer Engineering, Robotics, Mechanical Engineering, or a closely related Engineering
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: 277344492 Position: Postdoctoral Research Associate Description: The group of Prof. Aditya Sood in the Department of Mechanical and Aerospace Engineering and the Princeton Materials Institute at Princeton
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Mechanical and Aerospace Engineering, expertise in the fields of AI/ML, aerodynamics and acoustics, and computational methods; Strong written communication skills. Location: Scott Laboratory (0148) Position
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group dedicated to understanding the fundamental molecular mechanisms of metabolism. Our work focuses on how nutrient sensing pathways contribute to metabolic disease. We use a combination of cutting-edge
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/benefits-overview . Posting Summary The Cai Lab is seeking a Postdoctoral Associate to study mitochondrial mechanisms in the pathogenesis of Alzheimer’s disease. Position Status Full Time Posting Number
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, oncologists, computational scientists, and translational researchers under one roof. Research spans from the most fundamental mechanisms of immune regulation to first-in-human clinical trials—creating a direct