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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental
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Ph.D. degree. Research or scholarship responsibilities may include working with a team of computational and experimental researchers at Penn Neurodegeneration Genomics Center to manage, process, and
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About the Opportunity This job seeks a research assistant to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: 1) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and...
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research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial proteomics, imaging mass cytometry) to study the tumor microenvironment
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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/research conferences · Participates in the Sylvester Comprehensive Cancer Center Junior Development Program Qualifications Faculty members in the Department of Public Health Sciences will need to meet the
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Mathematics Economics Management Science & Engineering (more...) Computer Science and Electrical Engineering
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in