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, bioproduction and resource recovery. CMET is well recognized worldwide in its field, and links excellent basic science with application, leading to a high level of peer reviewed publications, besides commercial
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). For further inquiries regarding the position or the research project, please contact Prof. Pieter Leloup (pieter.leloup@ugent.be ). After the application deadline, all applications will be evaluated. Top-ranked
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on principles from engineering, cognitive neuroscience, artificial intelligence, and human-computer interaction. It has potential applications in education, training, and cognitive rehabilitation, and contributes
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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sustainable crop protection? Would you like to work in an interdisciplinary project with practical applications? And do this in close collaboration with researchers, including other PhD students, and industry
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benefits How to apply Applications may be sent by email to Hendrik.Vansompel@UGent.be . Application deadline is September 30, 2025. Please include cover letter and CV. Do not include reference letters
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to apply Send your CV, copy of your diploma (if already in your possession) and a motivation letter to mathieu.sprengers@ugent.be Please mention “PhD position application” in the subject line The closing
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to apply Send your application by email to prof. Pieter Leyman (pieter.leyman@ugent.be ). Please include (in pdf format): A cover letter, including your motivation both for doing a PhD and for applying
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this job offer, you can address your application letter, curriculum vitae, and degree certificates to thomas.tarnaud@ugent.be . For more information about this vacancy, please contact Prof. Thomas Tarnaud
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital