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of family and career Excellent conditions for developing a scientific career, including: in-depth knowledge in the fields of liver research and toxicology (Examples of our publications: https://doi.org
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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region. Our broad range of subjects, the dynamic development of our main research areas and our central location in Cologne make us attractive for students and researchers from around the world. We offer a
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. Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline Please see https://flores.unu.edu/en/education/phd-programme for current information. Tuition fees per
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development of climate-resilient tomato cultivars with improved growth and productivity under fluctuating environmental conditions. Tasks include analysis of the dynamics and responsiveness of gene expression
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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Graduate College Global Intellectual History, both in collaboration with Humboldt-Universität zu Berlin). For further activities in the field of global history, see https://www.geschkult.fu-berlin.de/e/fmi
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their hosts and to develop intervention strategies against these widespread infectious agents of humans and animals. The infectious agents we focus on are parasitic worms (helminths). Here, we analyze
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an (academic) career Equality in academic leadership positions Equal opportunities in staff development Cultural change through diversity Leadership culture Sustainability Institutes INSTITUTES Leibniz
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration