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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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the disciplines of law, ethics or computer science with the common goal of researching methods and tools to make Integrated Assessments of risks and impacts for current Data intensive and AI technologies. Research
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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-Disciplinary Collaboration: Immerse yourself in a highly collaborative and interdisciplinary research environment, where you'll work alongside experts from fields such as engineering, data science, urban studies
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant in the course NSC 5661 Systems Neuroscience. This job
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant on the course NSC 5461 Cellular and Molecular
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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environment, where you'll work alongside experts from fields such as engineering, data science, urban studies, and aerospace. Skill Development: Our extensive qualification concept goes beyond research
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, located in the Laboratory of Organic Chemistry (Organic Chemistry - WUR ), which is headed by Prof. Han Zuilhof . You will be supervised by Dr. Laura Righetti and Dr. Gert Salentijn with support by
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Engineering. Application Application should include Letter of motivation. CV (including contact information for at least two academic references). Transcripts from your bachelor’s and master’s degree. Proof