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plan and execute your tasks independently and efficiently. Participation in conferences, workshops, etc. and/or demonstrable experience with writing and publishing is recommended. Recently graduated
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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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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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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(either in classes or in projects/work) is a must. You have experience or you have studied at least one Hardware Description Language. You must be familiar with FPGA programming, hands on experience with
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organizational skills. • You are highly motivated and can plan and conduct research accurately. • You can function well independently as well as in a team. • You can take initiative and have a hands-on mentality