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. degree in Computer Science primary, or related field (in the latter case, special emphasis will be placed on assessing programming proficiency). Comprehensive background in modelling, simulation and
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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cross-selectivity. Support the implementation, testing and evaluation of the sensor prototype under simulated and real conditions. Active dissemination of the results in scientific articles and
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(inclusive of Ph.D.-diploma) a complete and numbered list of publications 3 selected scientific peer-reviewed publications by the applicant. Please note that a copy of each publication must be attached as a
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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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research and development projects). The candidate will implement a simulation framework to explore different configurations of management practices to reduce the impact of agricultural systems
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languages. Please always include a copy of original diploma/certificates. We only accept files in pdf-format no more than 10 MB per file. In case you have more than one file per field you need to combine
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Curriculum vitae Master’s degree and PhD degree or equivalent (copy of original + verified English translation) A complete list of publications Reference letters/references may also be included A statement of
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and PhD degree certificates or equivalent (copy of original/official English translation). Complete list of publications. Publications most relevant to the position. Summary and documentation
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motivation (max. 1 page) A detailed CV PhD degree certificate (copy) A complete and numbered list of publications Three scientific publications considered to be most important for the advertised position