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to contribute to cutting-edge research aimed at understanding microbiome-driven mechanisms and developing novel strategies for disease prevention and treatment. You will collaborate with renowned scientists in
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resources Minimum Education and/or Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging
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research scientist. The planned position will provide a transition to career independence through the development of professional skills; supervision by the faculty mentor incorporating individual
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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to manage labor and prevent preterm birth. The lab uses innovative and cutting edge experimentation and relies heavily on bioinformatics and biomechanical systems engineering. Job Description Primary Duties
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tackling a global health priority. TWINCORE is a joint institution of the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH). At TWINCORE, medical and basic scientists
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Scientists Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 14 hours ago
flexibility for weekend/evening hours as required for experiment needs. Qualifications Minimum Qualifications: Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related field
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Division of Surgical Oncology is seeking an enthusiastic Postdoctoral Associate (Ph.D.) with a strong background in bioinformatics