33 linked-data-"https:"-"https:"-"https:" Postdoctoral positions at Baylor College of Medicine
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structural analyses by mass spectrometry proteomic cross-linking and high-resolution CryoElectron Microscopy. Supports experimental work that includes molecular cloning of recombinant protein expression
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collaboration with scientists within the academic community, with a goal of bringing new treatments to patients with unmet medical needs. Develops and optimizes metabolic links between endometrial cells and
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bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects that involves
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research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine
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/ multi-omic data from human subjects and experimental models, that includes cell culture, mice, and fruit flies. The lab is pursing studies to identify novel genetic drivers and disease biomarkers. A major
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cellular immunotherapy, molecular cloning, and data analysis, with a strong interest in developing innovative cancer treatments. Job Duties Designs and executes experiments involving CAR T-cell engineering
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experiments. Develops research techniques and perform applications required for specific research projects. Conducts literature searches and summarize information in an appropriate format for a particular study
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). The lab is seeking a highly motivated Postdoctoral Associate, who is interested in translational tumor research. Job Duties Collects, compiles, and analyzes data. Prepares and conducts laboratory research
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collaborative agenda by supporting and advancing empirical and conceptual research. Key responsibilities include data collection, data analysis, dissemination of findings through conferences and peer-reviewed
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging