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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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magnetic thin films, patterned structures, and complex interfaces. In this advertised role, you will be conducting real-space imaging of magnetic heterostructures using LTEM to understand spin textures and
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. Knowledge and experience of physical testing would be an advantage. The sucessful candidate is resposnible to provide insights into this complex soil-structure interaction problem through numerical modelling
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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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: Otaniemi Campus, Espoo, Finland Join a cutting-edge research environment where architecture, landscape architecture, and artificial intelligence meet to address complex environmental challenges. About the
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. Job description Robotic systems are rapidly moving out of controlled laboratories and industrial settings and into dynamic, socially complex professional environments. To be widely adopted, they must
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cardiovascular sciences. Proficiency in experimental design, data analysis, and interpretation. Excellent written and oral communication skills, with the ability to convey complex scientific concepts effectively
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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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discipline • A strong experimental background in transmission electron microscopy • Experience with focused ion beam preparation of electron microscopy specimens • Experience with analysis of complex images