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, Research MSc), e.g. in econometrics, computer science, mathematics, physics, economics, quantitative marketing. Experience in programming (R and/or Python) Strong interest for societal problems and in
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information
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for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information about English requirements, please see: https://www.tudelft.nl
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https://www.academictransfer.com/en/jobs/355322/phd-position-on-deep-learning-f… Requirements Specific Requirements In this role, you will apply your technical expertise to improve healthcare. You are
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, enjoyment, and diversity go hand in hand. We offer a clear and welcoming career path for young and talented scientists with the ambition to grow. For more information about LIACS, see http://www.cs.leiden.edu
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journals and conferences to communicate with academia and other relevant stakeholders. Where to apply Website https://www.academictransfer.com/en/jobs/355317/phd-on-data-driven-inspection-m… Requirements
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laser physics and/or plasma and fluid mechanics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and
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, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also developing custom Python-based
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interaction mechanisms between the individual AWE systems of the farm will be taken into account. Many components of this toolchain already exist and have been validated for smaller-scale AWE systems (https
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have some experience in programming (e.g., R, Python, Julia, Scala, Java, or C++) and in data analysis, management, preparation, and visualization, ideally as part of at least one end-to-end data science