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biology and genomics. The position offers excellent opportunities for scientific publishing, international networking and academic career development. Our group studies the fundamental principles
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. With the rapid expansion of the observational network, encompassing over 100 stations reporting one-minute data and an additional 200 stations expected soon, traditional human-led QC processes
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from complex and heterogeneous waste streams. High-quality recycling increasingly depends on advanced sensing technologies that can accurately characterise scrap properties and identify alloy types
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regulatory networks in health and disease (m/f/d) Stellenanzeige merken Stellenanzeige teilen We are looking for an enthusiastic Postdoc/PhD to join our research group to study gene regulation in
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
networks, and computational modelling. Within the Department, we maintain strong synergies with the Neural Computation Group (PI: Andrej Bicanski ), which develops mechanistic computational models of brain
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a proven ability to manage complex projects to completion on schedule. Excellent written and verbal proficiency in English. A collaborative mindset and enthusiasm for coaching PhD and Master's
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collaboration with faculty and research staff at NCEMS, will conduct original research involving proteomics, mass spectrometry data analysis, protein interactions, protein complexes, post-translational
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for atmospheric, oceanic, and coastal processes. Complex environmental systems are characterized by multiple interacting physical processes across a wide range of spatial and temporal scales. The successful
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health