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                within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell 
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                of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods 
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                other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology 
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                completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic 
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                microtome Performance of functional assays and microscopic analyses for computer-assisted modeling of liver and heart metabolism Knowledge of pluripotent stem cell cultivation is desirable In 
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                the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates 
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                scenarios and analyse their data to validate the coupled biogeodynamic model. to interact with members of the biogeodynamics modelling group and program area 4 at regular meetings as well as with others from 
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                master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise 
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                of studies, coordination of study implementation, data analysis and interpretation (with a focus on neuroimaging data analysis, usage of AI and/ or computational modeling of psychological processes 
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                coordination with Prof. Dr. Harald Sack. Qualifications and Skills: A very good PhD degree in computer science or a comparable discipline. Very good software engineering skills. Excellent written and spoken