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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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automation, high-throughput data acquisition, and real-time data processing, offering a unique opportunity to advance S/TEM capabilities, publish impactful research, and collaborate with a diverse group of
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grasp of OOP, data structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open source medical imaging
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. Ophthalmology, U of S), Dr. Melody Wong (Dept. Ophthalmology, U of S), (Dr. Kerry Bishop (Optometrist, private practice) and Dr. Francisco Cayabyab (Dept. Surgery, U of S) are looking to recruit a talented and
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research findings and assists in the reporting of the results. Processing and visualizing fMRI data. Conducts ultrasound-based therapies and imaging. Conscientious discharge of research responsibilities
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-resolution in vivo imaging A collaborative, interdisciplinary environment in the Department of Pathology and Laboratory Medicine Active, well-funded projects addressing critical gaps in neurovascular research
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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technologies on the vacuum Space Coronagraph Optical Bench (SCoOB), coronagraphic image post-processing for existing and future space telescopes, simulation of coronagraphs for future missions including
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information using Microsoft Word and/or ChemDraw and managing the journal publication process Able to work independently and professionally with minimal supervision and direction Preferences Experience in
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research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging