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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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Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
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interdisciplinary within a joint research program. What will be your tasks? The successful candidate will work closely with scientists, postdoctoral researchers, and doctoral students within the department, as
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accordance with the collective agreement of the federal states (including annual special payment) Promotion of your company pension scheme (VBL) Extensive health promotion programs Who we are: The IPB is a non
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berufundfamilie") – employee ID card with free admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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play an integral role in the teaching program of its Institute of Physics. Nationally and internationally, we are well connected within the research community. As member of the Leibniz Association, we
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms