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, environmental and/or ecological sciences ability to work with large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C
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programming, ideally also in C or C++ (the language of the LPJ-GUESS model) Documented ability to publish in high/quality scientific journals Very good communication skills in English We Offer Access
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. For cognitive abilities to evolve, performance must be linked to individual fitness benefits of behavioral decisions in contexts such as finding food, shelters and mating partners, raising offspring, and avoiding
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modelling, machine learning, or data fusion for high-dimensional datasets. Familiarity with multi-omics or imaging modalities (e.g., MSI, Raman, fluorescence microscopy). Proven publication record and ability
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in scientific writing We expect: the ability to work independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity to familiarise yourself
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: Experience with annelid taxonomy, systematics, and identification. Experience supervising or mentoring students. Demonstrated strong collaborative mindset and ability to work effectively in a
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composite systems Ability to independently plan experiments and document results Strong written and oral communication skills in English Ability to work independently while contributing effectively
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, or comparable research contributions) Experience analyzing structure–property relationships in polymer and composite systems Ability to independently plan experiments and document results Strong written and oral
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methods Ability to work in a team International experience Good written/spoken English skills Experience in interdisciplinary collaboration Further information: For questions, please contact Prof. Dr
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functional imaging (required) Demonstrated ability to work independently and drive research projects Interest in interdisciplinary and cross-species approaches Excellent written and spoken English How to apply