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organize simulation protocol, organize model input-output and evaluation data of the improved LPJmL Dynamic Global Vegetation Model with the goal to analyse simulated fire effects on tundra vegetation and
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quickly with new topics creativity and openness to new approaches a high level of competence in oral and written German and English reliability, engagement, and a high level of motivation capacity
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies
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biomarker discovery. Develop open-source tools for multi-modal data processing and integration. Collaborate closely with biologists, clinicians, and imaging specialists to interpret high-dimensional datasets
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additions to your profile Peer-reviewed research outputs (e. g. publications, preprints under review, or substantial open-source contributions) in nature-, bio-, or cognition-inspired AI (e. g. neuro-inspired
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will be embedded in a closely collaborating interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than
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until the position is filled. Applications will be considered until the position is filled and the position will remain open until a suitable candidate is found. For any specific questions about the