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on biodiversity and its change, we are advancing the further development of our extensive scientific collections with an international team and state-of-the-art technology. With our exhibition, knowledge transfer
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the phenomenology of cognition (e.g. formalizing concepts such as reasoning, agency, meaning, or experience into testable computational models, skill acquisition, and affordances). The successful candidate will bring
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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