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LLM, VLM and embodied AI, with specific applications to collaborative interaction with people. You will be supervised by Prof. Tony Belpaeme (www.tonybelpaeme.me) and will be part of a vibrant and
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spatio-temporal analysis based on big geospatial data. The PhD student will work closely with Prof. Haosheng Huang (https://users.ugent.be/~haohuang/ ) and Prof. Christophe Vandeviver (https
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scanning in forests; and (3) apply these methods to gain ecological insights in how forest structure is changing through time. This PhD project will be promoted by prof. Kim Calders, co-supervised by dr
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fluently in English. You have good computer skills and data management skills. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which
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synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
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history collections and taxonomy; You have experience in bioinformatics and data processing (e.g., OCR, scripting, API integration); You demonstrate initiative and are capable of working collaboratively
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do not accept late applications. For more information about this vacancy, please contact Prof. Marijke Steeman (Marijke.Steeman@UGent.be ).
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, please contact Prof. Pieter Geiregat (pieter.geiregat@ugent.be .+32(0)9/2644436)
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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