16 postdoc-computational-fluid-dynamics-"Prof" Fellowship positions at University of Maryland, Baltimore
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Fellows in Regenerative Medicine and Neuroscience in the Translational Neuroengineering and Neuroscience Laboratory led by Prof. Xiaofeng Jia. The department aims to excel and innovate in clinical practice
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investigators from several institutions such as University of Maryland, Duke University, Harvard University, Yale University and Johns Hopkins University, and community partners. This position offers a dynamic
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University and Johns Hopkins University, and community partners. This position offers a dynamic and collaborative research environment for a candidate with exceptional skills in measurement theory and a
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a dynamic, translational research program focused on engineering oncolytic viruses to target pancreatic ductal adenocarcinoma (PDAC) and modulate the tumor microenvironment for enhanced immunotherapy
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professional career afterward. The Radiation Oncology department has a CAMPEP approved Medical Physics certificate program. The postdoc fellow will have the option to enroll in the certificate program with
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(PSHOR) PATIENTS Program has an exciting Postdoctoral Fellowship opportunity. Fellowships within P-SHOR provide multidisciplinary, advanced training and prepare fellows for positions in academia
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models, and clinical cohorts to uncover mechanisms by which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology
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presentations. The successful applicant will work in a multidisciplinary research team supported by an advanced data management and computational infrastructure to perform data analyses, develop and/or implement
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to: Dr. Raphael Meier and sent to email address :rmeier@som.umaryland.edu with the subject line “Postdoc – Cell Transplantation” We prefer that the application package be submitted as a single pdf document
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Gyn), hyperthermia, and GammaPod™ stereotactic radiation therapy system for early-stage breast cancer. Trainees entering the program will have varying background and comfort levels with advanced