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). Reference: BI/UTAD/14/2026 Scientific area/research field: Engineering Researcher profile: First Stage Researcher (R1) Admission requirements: Master's degree in Electrical Engineering, Computer Engineering
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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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Foothill-De Anza Community College District | Los Altos, California | United States | about 1 month ago
, program planning, documentation and control. Principles, methods and problems of operating an electronic data processing computer and peripheral equipment. Analysis and design of systems and procedures
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. Methods and techniques of interviewing students and eliciting relevant information. 6. Mathematical principles. 7. Business and office administrative practices and procedures. 8. College registration and
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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development, testing and application of the LPJ-GUESS biosphere model for modelling tropical wetlands and estimating tropical methane emissions. The work is part of the EU-funded project IM4CA (https://im4ca.eu
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d'estimateurs pour générer des estimations correspondant à différents sous-ensembles de capteurs. Une telle approche est NP-difficile. Étant donné une limite supérieure du nombre de capteurs attaqués, des
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experience in the following areas: Middle Grades and Secondary Education Generalist Middle Grades and Secondary English Language Arts Methods Middle Grades and Secondary Math Methods Middle Grades and
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full-time (100%) doctoral scholarship holder in the field of Medical Communication and Psychology for the CircBioCare project (https://www.circbiocare.com ). The doctoral scholarship position focuses
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a