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scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET). Dr. Qirong Ho – Assistant Professor of Machine Learning and Computer
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Position Title: Postdoctoral Researcher – Soil and Water Resources Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department of Civil, Construction
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, electron microscopy, X-ray diffraction, etc.). Methodology: • Design and synthesize model substrates to measure the activity of enzyme mimics. • Develop analytical methods to detect and quantify chemical
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teaching of one course per academic year. Qualifications: Education: Ph.D. in Solid State Electronic Device Structures Required: A Ph.D. in Electrical & Computer Engineering, or a related field
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ATLANTIS team led by Dr Francisco J. Rodríguez-Fortuño. ATLANTIS investigates new physics and applications of optical and acoustic near-fields by challenging conventional assumptions about wave structure
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-doctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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School of Life Sciences Zhengzhou University | Science Education Center, Gauteng | South Africa | about 15 hours ago
: Internationally competitive salary and benefits, sufficient research start-up funds, and platform construction funds; Assistance in building excellent research teams and establishing internationally aligned career
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. Ongoing projects leverage large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop novel
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manipulations of malaria parasites, live cell imaging, and cryo-electron microscopic structural studies. Other duties as assigned Required Qualifications Minimum of a PhD or Doctorate in Microbiology or a related
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structure, and simulation of coupled difference or differential equations. Experience calibrating simulation models against sparse, indirect, aggregated, or otherwise limited observations. Familiarity with