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microscopy Experience in live super resolution imaging Oral and written skills in English language Scientific conference participation Publication record PhD Student Position 3 Required qualifications: BSc in
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with cryo-EM/ET data processing, tomographic reconstruction, or related inverse problems in imaging. Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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focused on the genetic and molecular analysis of sleep and circadian rhythms. This role is ideal for a recent graduate seeking 2–3 years of hands-on research experience prior to pursuing a Master’s, PhD, or
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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of 3 years post-PhD experience (academic, core facility, or industry). Minimum of 3 years of experience working in the areas of image acquisition, image processing, and computer-assisted image analysis
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infection and inflammation. As the Research Technician, Neuroimmunology, you will work closely with a Physician Scientist to study these immune signaling networks using a variety of imaging strategies, mouse
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, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will build AI-driven robotic systems for high-throughput brain imaging and behavioral
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 hour ago
areas – Medical Laboratory Sciences (MLS), Medical Sciences, Imaging Sciences and a PhD in Health Sciences. We provide students with intensive, hands-on clinical experience that prepares them to be
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initiative integrates innovative programs in health-system–scale genome-informed care; clinical natural language processing and large language models for clinical data capture and communication; and hospital