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training dataset of well-studied volcanoes with known large eruptions, the project will employ statistical and machine learning (ML) methods to identify the strongest predictors of eruption magnitude
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or equivalent Research FieldAgricultural sciences » ZootechnicsEducation LevelPhD or equivalent Skills/Qualifications • Completed university degree (MSc or PhD) in animal science, veterinary medicine, or related
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salary and social benefits, including health coverage and support for international candidates (relocation, visa assistance). Your Academic Profile: Qualifications: An MSc degree (or equivalent experience
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domains. We are committed to open science, interdisciplinary research, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical
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://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role
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/lab meetings Help supervise undergraduate and MSc students Carry out other duties, commensurate with the grade and remit of the post Person Specification Our diverse community of staff and students
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
strengthen or add to our competences. We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ for more information. IMADA The section is part of the Department of Mathematics
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Job Description Are you passionate about acoustic signal processing? We are seeking a highly motivated PhD candidate with a strong background in acoustics, microphone array processing, statistics
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able to work with very large data and have the creativity and curiosity to work with network measures and statistics. You may also be an expert on grounded computational social science: combining large
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(http://smarthealthit.org ). As a member of the team that has literally defined the national standards for healthcare data APIs and populational level clinical data and created a number of widely adopted