18 computer-science-programming-languages-"St"-"St" Fellowship positions at University of Maryland, Baltimore
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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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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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/cellular biology and transgenic mouse models. Projects will focus on the epithelial plasticity (EP) programs such as the epithelial-mesenchymal transition (EMT) and the role of EP in tumorigenesis
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, School of Medicine is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and
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desired: 1. Manuscript writing 2. Mouse models of cancer 3. Molecular and cell biology 4. Immunology Preferred candidates should be fluent in English. Please e-mail an application including a cover letter
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. The ideal applicant is expected to: • possess a strong programming skill in at least one language in Python, R, or C/C++ and proficiency in use of Linux/Unix command-line system • possess a demonstrable
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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
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, science, and neurosurgery education. We seek to achieve this by creating a platform and culture whereby all team members contribute to this mission and reach their full capacity for impact and fulfillment
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brain disorders using human genetics, single-cell and spatial genomics, human pluripotent stem cells, and computational biology. Ongoing NIH-funded studies apply these approaches to psychiatric disorders