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Job Description The postdoctoral researcher will conduct independent and collaborative research on projects involving brain network analysis, including investigations on the Drosophila connectome
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research activities, you will contribute to ongoing projects within the Brightlands Future Farming Institute (BFFI) and collaborate across disciplines in areas such as data acquisition and analysis
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at the bench, and to use lab instrumentation (NMR, HPLC, LCMS) to validate experimental results through analysis of data. The candidate must work well in a research group setting and within project teams
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the supervision of Dr Ruiz-Castell, the Postdoctoral Fellow will contribute to data processing and analysis on ongoing and developing environmental health/exposome projects and will co-develop a competitive grant
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liquid xenon time projection chamber to search for particle dark matter. Operating since 2021, we continue data-taking and analysis in search for dark matter and other new physics signals. The XLZD
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utilizing a liquid xenon time projection chamber to search for particle dark matter. Operating since 2021, we continue data-taking and analysis in search for dark matter and other new physics signals
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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evaluation, sensitivity analysis, and/or assessment of emerging technologies and manufacturing processes. Experience with life cycle assessment (LCA) is highly desirable. Experience with mathematical
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Work with leading researchers in statistics and bioinformatics to develop innovative
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supervised by Professor Timothy Verstynen (Carnegie Mellon University, Department of Psychology) and Professor Jonathan Rubin (University of Pittsburgh, Department of Mathematics), providing a unique