39 developer-"https:" "https:" "https:" "Universidade do Minho CTAC" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate- Intervention Development and Testing Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Per NIH
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their findings, and develop an independent line of research. The postdoctoral associate will carry out ongoing projects independently and/or in collaboration with other lab members as directed by the PI
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: Commensurate with Experience FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The St-Pierre Lab is seeking a motivated and creative scientist or engineer to develop next-generation
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which faculty member(s) in the CNRC they would like to train with. Applicants can view potential mentors at https://www.bcm.edu/research/research-centers/usda-ars-childrens-nutrition-research-center
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community. More information about FunInBio can be found here: https://reporter.nih.gov/project-details/11144035 Job Duties Develops and conducts a curriculum tailored to training biologists in bioinformatics
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development, as well as biomarkers that can be translated to the clinic. For more information: https://www.bcm.edu/people-search/pawel-stankiewicz-31243 Job Duties Designs and conducts logical scientific
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in the Division of Reproductive Psychiatry, one of the largest in the United States. For more information, please visit https://www.bcm.edu/healthcare/specialties/obstetrics-and-gynecology/ob-gyn-care
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interested in pursuing an independent academic career are welcome to apply for this position. For more information: https://www.bcm.edu/people-search/ctirad-skoda-174296 Job Duties Designs, optimizes, and
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, muscle atrophy, 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
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follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Develop new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets