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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
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The postdoctoral researcher will work with computer-based analytical methods and large databases to develop theory and methodology for utilising aggregated data from archaeology, genetics, and linguistics, thereby
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(IAS), Johannes Henn (MPP), and Daniel Baumann (NTU). More information can be found here . About LeCosPA LeCosPA is a research center at National Taiwan University (NTU). It was founded in 2007 with
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Are you excited about big science, do you have an engineering mindset, and want to contribute to the development of a new gravitational wave detector? We currently have a postdoctoral researcher
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statistical and computational component, with a particular emphasis on gene-environment interactions and multivariate approaches. The candidate will work with real data from large-scale multidimensional cohorts
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, and radiation. Research activities would include contributing to experiments using the Europa Tower (Stone Aerospace Facility) to provide cryogenic temperatures, hard vacuum, a large ice column, and
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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Learning, Big data Analytics, applied computer programming, Earth systems science research and current data science techniques. Technical experience in programming. Demonstrated strong computer skills to
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analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data
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enterprise. This is a fantastic opportunity for a well-qualified and talented team member to play a central role in a large interdisciplinary and cross-institutional initiative. AI.RDN+ is distinctive in its