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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development
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The Dutch Institute for Fundamental Energy Research (DIFFER) performs leading fundamental research on materials, processes, and systems for a global sustainable energy infrastructure. We work in
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economic implications of AI adoption in the technical industry. This PhD position focuses on the legal challenges technical industry is encountering when adopting AI in its processes. The successful
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European research consortia. You will present your findings to clients and publish your results in (applied) scientific journals. Additionally, you will contribute to or lead acquisition processes. Within
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. Selection process For more information about this position, please contact Dr. Antoine Cribellier, e-mail : antoine.cribellier@wur.nl For more information about the procedure, please contact Noorien Abbas
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, addressing issues that are essential to understand processes of communication in an increasingly mediatized society. Where to apply Website https://www.academictransfer.com/en/jobs/354428/phd-position-tracing
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industrial partners. An interview, a scientific presentation and a writing assignment are part of the selection procedure. Additional Information Benefits A meaningful job in a dynamic and ambitious university
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related field. - A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty
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underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical