126 coding-"Prof"-"Chung-Ang-University"-"Embry-Riddle-Aeronautical-University" PhD positions
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toward net-zero emissions. Number Of Awards: 1 Start Date: 1st October 2025 Award Duration: 4 years Application Closing Date: 16th June 2025 Sponsor EPSRC Supervisors Dr. Libing Cao Prof. Barrie Mecrow
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evergreen and most herbaceous plants so the understanding of this diversification is crucial. Working with a team from Spain (led by Prof. Mario Martínez Azorín, Alicante) and the UK you will generate DNA
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for recruitment of researchers: https://euraxess.ec.europa.eu/jobs/charter/code Unsolicited marketing is not appreciated. Information For information you can contact: prof. dr. ir. Francesco Maresca, f.maresca
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular
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the Faculty of Spatial Sciences at the University of Groningen, in the Cultural Geography unit. Supervisors are Prof. Martijn van der Heide (nature-inclusive rural development and environmental economics) and
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or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application with the usual documents quoting the reference number
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applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive
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with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application including a cover letter detailing
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or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application with the usual documents by May 29, 2025 (stamped
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning