335 evolution-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Fellowship positions in United States
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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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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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the mismodeling of gravitational waves, of astrophysical environments, or of noise artifacts in gravitational-wave inference, The development of Bayesian data analysis techniques to carry out parameter estimation
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by the USDA-ARS, SHRS, and Miami location, with the development of integrated pest management (IPM) for invasive insect pests, such as tephritid fruit flies, ambrosia beetles, the hibiscus bud weevil
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asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical processes to improve the performance of biobased additive
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, and genetic underpinnings of invasive insect pests and their natural enemies, directly informing the development of effective biological control strategies. Collaborate with ARS and University
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Fellowship program offers comprehensive research, training and professional development opportunities for scholars advancing their careers in history. Fellows pursue their research with support from
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project management, data collection, development of research hypotheses, analytic strategies and scholar-initiated analyses and projects related to the lab’s core projects. The successful candidate will be
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demonstration of research productivity and funding. This position will be expected to conduct research in the general area of hydrology. Work on the evaluation and development of the next-generation (eco
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experience in plant genetic analysis, pipeline development, trait identification and mapping analysis. The overall objectives of the project include: Identify sources of desirable traits, quantitative trait