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Field
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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editing). Familiarity with flow cytometry and data analysis using software such as GraphPad Prism, R, or Python. Excellent organizational, record‑keeping, and communication skills Equipment Utilized
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
. The department’s operating budget is 27 million a year. Position Summary The Postdoctoral Research Associate will be involved in manuscript preparation and curation of software in support of grant aims. They will
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relevant technical software, such as Cadence, SPICE, Verilog, etc. are needed; • Background knowledge in neural network algorithms preferred, but not required • Collaborative skills, student mentorship
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Qualifications Strong background in receptor signaling (insulin/IGF‑1 axis preferred). Experience with in vivo mouse models and mammalian cell culture. Proficiency in data analysis using statistical software (e.g
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
MR physics and sequence development • Experience with the operation of preclinical and/or clinical MRI systems • Prior experiences and publications on neuroimaging research • Proficiency in software
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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org