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Field
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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assistant is a fixed-term scientific position of 6 months. If you have hands-on experience with analytical chemistry and laboratory techniques and experience with troubleshooting, optimization of laboratory
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-month appointment that involves actively engaging with food industry stakeholders, leading the analytical services program at the Whistler Center for Carbohydrate Research, and developing a research
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related discipline. You will have strong experience in one or more of the following areas: electrified powertrains, marine robotics systems, automation, or predictive maintenance using data analytics
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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support commercialisation of a simulated autonomous road maintenance vehicle. Study CAV interfaces and propose and design a standard API for the cloud-based platform. Key Competencies: Strong analytical and
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Engineering, Computer Science, Operations Research, or Economics Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques