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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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high willingness to take initiative and motivation to start her/his career at TUM. We offer: TUM offers a wide range of inspiring and challenging Ph.D. programs, which will supplement the research
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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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and challenging Ph.D. programs, which supplement the research training with outstanding opportunities for career development, continued education, and life-long learning. The Straubing Campus
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types, their content, and also the relationships between the individual objects. To apply for this position, the candidate should possess in-depth skills in programming and hands-on training and
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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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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degree (Ph.D.). IGSSE grants a fully funded scholarship (€ 2,000 monthly), including a competent international qualification program. The scholarship is for four years provided that the progress