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University of Würzburg - NUCLEATE Excellence Cluster | Oettingen in Bayern, Bayern | Germany | about 2 months ago
associated protein complexes in all its dimensions: from basic research on cellular functions of nucleic acids to novel nucleic acid-based technologies and medicine. It connects researchers across disciplines
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published in international peer reviewed journals. Understanding of the atmosphere and its modelling is essential. • Model development of WRF-Chem is complex. Documented experience using FORTRAN, C
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at the intersection of human medical and population genetics. In particular, we have a strong interest in developing methods that uses genomic data to understand the evolution and architecture of complex traits and the
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response. Design, execute, analyze, and interpret complex laboratory experiments while maintaining accurate and comprehensive research records. Establish and maintain patient-derived cancer organoid cultures
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focusing the complex interactions between human host factors (genetic traits, health status, etc.) and environmental exposures (especially air pollution) in order to understand how risk factors affect human
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subdisciplines of the life sciences—including cell and molecular biology, genetics, biophysics and physiology, anatomical structure, histology, neuroscience, and imaging—to solve complex health problems from a
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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next-generation scientific breakthroughs requires an understanding of the world's complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human
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building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or