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Researcher (m/f/d) (salary group TV-L E13, 100 %, 22 months) Preferred start date is as soon as possible. Duties and functions: Intuitive information processing has clear advantages for human cognition but
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missing factor in soil GHG flux models. BoTiKI aims at filling this knowledge gap and establish improved GHG models accounting for soil fauna. To achieve this, we create a rich AI-training dataset
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location in Müncheberg as PostDoc Minor Crops (f/m/d) Your tasks: synthesize existing agronomic knowledge on minor crops (e.g. chickpea, lentil, buckwheat, grass pea) design agroecological practices and
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of the university hospitals in Germany. The following full-time position (38.5 hours/week) is to be filled as soon as possible in the Department of Old Age Psychiatry and Cognitive Disorders of the University
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that integrate domain knowledge to support structured chain-of-thought processes Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
interdisciplinary experience has been gained (i.e., Ecology, Biology, Oceanography) Strong skills and evidenced experience in textual analysis (i.e., policy or discourse analysis) Knowledge of the marine social
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budgets be accounted? What are the potential designs of effective monitoring setups? Can operators and tourists be sensitized to the impact of their presence, and how can knowledge contribute to modes
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representation theory. • Some experience with SageMath, polymake or other related mathematical software. • Proficiency in English, both written and spoken. Knowledge of German is not required. In addition
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and upcoming AI methods to analyze the climate