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) Ability to work with minimal supervision, including prioritizing workloads to meet deadlines Knowledge and skill with computer technology in preparing and making reports, presentations, data analysis and
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Senior Researcher in interactions between fisheries, anthropogenic pressures, and endangered, thr...
monitoring approaches, analytical methods, and modelling frameworks related to marine mammal ecology and human impacts. You must contribute to teaching at the Department. DTU employs two working languages
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, (Molecular Focus) Posting Number req25468 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N Freeway, Tucson, AZ 85705 USA
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NIST only participates in the February and August reviews. Project Description:NIST is developing a novel neutron interferometric phase imaging method using a grating-based, far-field interferometer
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distance sampling to estimate population densities, activity patterns and habitat use; ii) Characterize the feeding ecology of cervids by performing micro histological analysis of faeces to determine the
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. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques
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Grade Level 44 Salary Range $43,805-70,075/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https://hr.uky.edu
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) and recent publications (2) is available here: (1) https://pediatricgi.wustl.edu/items/perlmutter-lab/ . (2) PMID: 38557779, 38336172, 38066314, 37214956, 36848094, 36303071, 35301011. Following
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sciences and will be involved in routine data quality assessments, application of machine learning and artificial intelligence methods, data management tasks, manuscript development, grant proposal
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-Cheng Lo (Nicholas). Our research mainly focuses on Burden of Disease estimation in Taiwan, as well as the long-term health impacts of lifestyle and environmental exposures. Using disease burden metrics