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participate in the training of young scientists in agricultural and environmental sciences. In particular, engagement in the further development of international degree programs and the provision
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analyses Skills and requirements Excellent master and doctoral degree in Computational Science/Bioinformatics Strong background in biological fundamentals, including genetics and epigenetics Expertise in
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, project management, science communication, environmental science, geography, computer science, social science, political science, international development, ecology, economics or related fields general
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of analyses. Your profile A PhD e.g. in environmental science, ecology or related fields of biology or geography (or equivalent), or you have submitted your PhD thesis for assessment. Essential is experience
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offers a lively, international research environment with well-equipped laboratories and computational facilities. The DSMZ strives to increase the proportion of female scientists and encourage female
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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Qualifications / Experience: A PhD degree in physics, engineering, environmental sciences, or a related discipline, is required Knowledge and hands-on experience with atmospheric lidars or other atmospheric
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Programme Areas and international partners, contributing to cross-disciplinary projects. Integrate the developed bio-geochemical modelling framework into the TropEcS modelling system. Publish in leading
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and cooperation with national and international researchers and within the team of LIfBi Department “Competencies, Personality, Learning environments” Contributing to analyses and the preparation
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(Nakamura et al, J. Neuroscience, 2013; Beer and Vavra et al, Plos biology, 2018; Ku et al, Cell Reports, 2024), hypothesized a network shift between the Trisynaptic loop and the Temporoamonic pathways