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. Required License Yes If yes, what is the required licensure/certification? LIMHP Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint Required Other Computer Applications
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satisfaction. The role requires strong technical knowledge of construction methods and cost structures, high attention to detail, proficiency with estimating and project management software (including Trimble
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high school education in lieu of required experience) Required License No If yes, what is the required licensure/certification? NA Required Computer Applications: Microsoft Access, Microsoft Excel
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cities. A lab within the Institute is seeking an Associate Research Scientist who will study communication between areas of the brain by applying novel methods from information theory and nonlinear
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. Designs, organizes, and conducts qualitative and/or mixed-methods research examining ethical, legal, social, and policy dimensions relevant to assigned research initiatives. 2. Conducts systematic
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 23 hours ago
candidate will be responsible for developing and providing a Method of Assessment, delivering course content, and evaluating student work. The position reports to the Director of the Fountain School
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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challenge will be to formalize the type of dependency between subsystem characterizations that can be included in the analysis and synthesis (estimation filter) methods, while preserving the convex character
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in