23 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" research jobs at Baylor College of Medicine
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information about Dr. Dzakovich’s research please visit: https://www.bcm.edu/research/faculty-labs/michael-dzakovich-lab Job Duties Constructs and validates intrinsic labeling systems for a variety of food
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to work on Bioinformatics and Computational Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand
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include: Protein engineering Optical system development High-throughput screening Electrophysiology Computational approaches This position offers the opportunity to develop cutting-edge molecular
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techniques for testing compound activities. Find the research interests, project descriptions and recent publications at the PI's website: https://www.bcm.edu/people-search/yongcheng-song-31069 The position
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maintains crops in greenhouse and/or growth chambers settings. Participates in the Children’s Nutrition Research Center’s Postdoctoral Training Program (https://www.bcm.edu/research/research-centers/usda-ars
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, and osteoporosis. For more information of the lab, please visit https://www.bcm.edu/people-search/zheng-sun-31489 . Job Duties Uses cutting-edge technologies and integrated approaches, include
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basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and
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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
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the molecular bases of lung development in humans. We invite you to learn more about our research. Training will be provided in grant application preparation. At Baylor College of Medicine, postdoctoral
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excellent opportunity to join a growing team and contribute to the development and maintenance of a high-quality research resource. The ideal candidate is highly motivated, organized, and detail-oriented