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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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performance. Duties and responsibilities include the development of new abstractions and algorithms using computational sheaf theory. Such algorithms will be developed for understanding composite energy-driven
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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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technologies, bulk and single-cell RNA-sequencing, flow cytometry, multiplex immunofluorescence, and standard molecular biology and biochemistry techniques. A computational component may also be available
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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
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or scholarship responsibilities may include carrying out research projects in collaboration with the TBI center faculty as well as establishing their own independent research program aiming
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to strengthen their research experience before pursuing a Ph.D. program. Opportunities may be available for the candidate to continue as a Ph.D. student in the lab. The successful candidate will contribute to two
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making