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Field
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collaborative research to develop knowledge bases of the behavior, ecology, physiology, and genetics of invasive insect pests and their natural enemies for development of effective biological control strategies
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for completing the doctoral degree within the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both
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media (or equivalent), with a focus on audiovisual analysis; (2) a record of publications and presentations on topics relevant to the proposed work plan; (3) good command of English and Portuguese
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the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research
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interpretation of results. Develop and maintain lab guidelines for specific studies as directed by lab supervisor. Order supplies and negotiate prices on lab consumables. Follow established quality control and
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, including the development of novel diagnostics, drug treatments, and vaccines for controlling Theileria orientalis in cattle and Theileria equi and Theileria haneyi in horses. The project is conducted
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 17 days ago
analyses), patient monitoring algorithms (e.g., artificial intelligence/machine learning approaches) for disease detection and management, and physiologic closed-loop controlled devices. Research activities
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Familiarity with data post-processing, quality control, and management of environmental datasets such as meteorology, streamflow, soil and stream chemistry, and vegetation biometrics Familiarity with forested
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soil carbon dynamics in old-growth forests of the Pacific Northwest, examining how root traits, microbial processes, and environmental conditions influence belowground carbon cycling using long-term
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position is available to work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine