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- Delft University of Technology (TU Delft); Published today
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) and programming (e.g. Python, Matlab), with strong programming skills. Has knowledge of the steelmaking industry or of other process industry (e.g. modelling, experimental tests, techno-economic
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supervision of Prof. Martin van Hecke and Prof. Daniela Kraft, whose groups are embedded in the Smart Living Active Matter Center at the physics department of Leiden University (link: https://slam-leiden.nl
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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://github.com/awegroup/ ). The main
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of your PhD research, and 20% to the acquisition of academic skills through teaching courses and supervising master/bachelor theses within the department. Where to apply Website https
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. Leonard Sagis . Where to apply Website https://www.academictransfer.com/en/jobs/355835/phd-sorption-and-biodegradation… Requirements Specific Requirements We are looking for highly motivated candidates
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Habibi and dr. Leonard Sagis and will closely collaborate with a PhD working at Environmental Technology. Where to apply Website https://www.academictransfer.com/en/jobs/355834/phd-mechanisms-of-surface
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advantage. Experience with programming languages (e.g. python, C++) is considered a plus. A strong team player, with well-developed communication and collaboration skills. Excellent command of written and
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. Flor Miriam Plaza del Arco, Prof. Suzan Verberne and Prof. Joost Broekens. More information about the Human AI cluster can be found at https://www.universiteitleiden.nl/en/science/computer
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systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and vulnerability as inputs to impact-based
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(or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and climate questions. Ability