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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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initiation, progression, therapy response and prognosis, and (iv) novel microbe discovery in cancer and other chronic diseases. The knowledge gained using our “tumor ecology” paradigm will be translated
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Mississippi. Apply computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate
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in our group delves into the fundamental neural processes that influence eating behavior, energy expenditure, physical activity, glucose metabolism, all of which play pivotal roles in metabolic health
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biology and FLASH/ultra-high dose rate radiotherapy (UHDR-RT). This position offers an exceptional opportunity for a motivated PhD or MD/PhD scientist to advance the biological and translational foundations
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of junior lab members. Qualifications Required Qualifications: PhD, experience with enzyme assays, HPLC, LCMS, and bacterial genetics About the Department Our mission is to conduct fundamental research and
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access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup for multi-vendor studies. The prospective postdocs will collaborate with a
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in vitro models along with advanced 3D and 4D imaging technologies, we aim to illuminate key molecular and cellular mechanisms underlying human neural development and the pathogenesis of neurological
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buildings. All required qualifications must be documented on application materials. Required Qualifications: • PhD Degree in Neurosciences • At least 2 Years of experience • Record of peer reviewed
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood