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thereafter. Job description You will undertake quantitative research on how echolocating bats and toothed whales use sound to hunt and navigate in complex environments. To do so, you will use state-of-the-art
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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networking between Science Team members and external scientists. Effectively translate and distill complex climate science concepts into accessible language for EDF staff. Participate in advancing EDF’s
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of the Microverse” (https://www.microverse-cluster.de/en/# ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (https://www.funginet.de/willkommen.html# ) funded by the Deutsche
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for separate neural networks, reducing computational complexity and improving the overall efficiency of autonomous navigation.
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the approximation over time, (2) Energy-based optimization that balances accuracy and mesh complexity, or (3) Graph-based techniques that seek near-optimal connectivity structures for mesh representation. • Recent
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studies, designing and implementing complex immunological assays, analyzing data from clinical cohorts, and generating impactful publications. As part of a dynamic and multicultural team of international
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simulations. Your expertise will enrich IIMCB’s research and foster collaborations by using computational insights to unravel molecular mechanisms from single molecules to complex cellular systems, in line with
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innovative Population Health Data Science research programs. We will consider applicants spanning all areas of Population Health Data Science, including complex disease epidemiology, infectious disease
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complex health care challenges of our time—discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and