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hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Summary The Senior Talent
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
internship, the student will calculate and evaluate the radiological impact of relativistic electrons accelerated by laser-plasma interaction, estimating doses and dose rates in typical laboratory scenarios
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clinical healthcare setting. Experience with medical terminology and investigative scientific methods. Preferred Qualifications Education: Bachelor's degree Work Experience: Oncology experience. Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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based on knowledge of scientific theory. Independently conduct experiments; maintain detailed records of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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: Department of Family Medicine Course Title: Applied Knowledge Translation and Exchange in Health Course Code: FMED 615 Estimated Number of Positions: 1 Total Hours of Work per Term: 20 Position Summary
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adapt to tasks that will change over the course of the year Knowledge of education such as learning objectives, instructional methods, student engagement, and assessment Ability to compile, organize
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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