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housing. Ideally, the candidate will also have language skills and overseas fieldwork experience in a city in one of the project’s focal areas (Greece, Spain, Portugal, Romania, or the USA), experience in
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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Participate in meetings to discuss the AQPU plan together with the team Help your peers in solving their challenges in reaching the milestones including the supervision of BSc theses and possibly of PhD and MSc
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Leadership abilities to supervise students and PhD students Teaching experience Very good German and English language skills. Very good mathematical understanding Very good programming skills Strong ability
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(symbolic reasoning and planning). Recently the concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being
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with IoT, edge computing, and cloud integration in rural or resource-constrained settings. Proficiency in MATLAB/Simulink and AI/ML tools like TensorFlow or PyTorch. Excellent programming skills (e.g
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, spiroergometry, and dietary assessments Excellent German and English skills, both written and spoken Strong team player with excellent social and communication skills Resilience and high level of motivation What
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. Research competence & initiative demonstrated through international publications in peer relevant media. Excellent command of English, both written and spoken You are goal-oriented and have a high motivation
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related discipline and have begun to establish a strong research profile, evidenced by a strong, well-cited publication record. Proficient in Python, R, BASH and/or other relevant programming languages, you
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems