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Field
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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experience organizing and leading a group of physicists within CMS or another HEP experiment, or has demonstrated the potential to do so. The Junior DR program provides an outstanding opportunity for young
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
rational approaches to drug therapy regardless of the area of clinical specialization. The graduate program through the Ph.D. in Biomedical Sciences, Pharmacology and Toxicology Concentration, is broadly
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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial
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will be self-motivated, think critically, and thrive in a multidisciplinary environment that integrates experimental and computational approaches. General Responsibilities As a Researcher Senior Lead
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experience applying these methods on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer
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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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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial
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participate in the Penn Medicine Biobank/Undiagnosed disease program. The Division of Translational Medicine and Human Genetics comprises clinical and research faculty with diverse investigative interest and
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genetics, and may include expertise in one or more of the following: computational biology, statistical genetics, population genetics, biomedical informatics, complex genetics, clinical genetics