276 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"O.P" Fellowship positions in United States
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Medical School-affiliated hospitals. Responsibilities: Evaluation of multi-cancer early detection tests and implementation strategies in clinical and population settings Development and testing
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Research and development emphasis will be placed on cotton fiber science and new product
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ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology
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development fund of $2500 to spend on educational materials or conference attendance. MINIMUM QUALIFICATIONS: Applicants must have completed or be scheduled to complete an ACGME (American) or RCPSC (Canadian
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cardiovascular diseases. The successful candidate will have the opportunity to work at the forefront of stem cell biology, cardiovascular development, and translational disease modeling using cutting-edge
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apply biotechnological approaches to improve the health and resilience of managed honey bees. The successful candidate will contribute to research projects focused on the development of novel therapeutics
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team Assist in the development and optimization of clinical decision support systems (CDSS) Assist in the use of existing data analytics platforms to analyze research objectives Data Analysis & Reporting
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enthusiastic Research Fellow to help in the development and application of novel 3D bioprinting methods for disease modeling and therapeutic tissues. The ideal candidate will report to the Principal Investigator
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 1 day ago
focused on the development of methods and tools in support of our regulatory science efforts in evaluating computational pathology (CPATH) devices. As a fellow, you will have the opportunity to learn about
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease