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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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childhood to adulthood. We will be looking for a researcher with a strong track record in research synthesis and special educational needs, to conduct a systematic review and meta-analysis on targeted
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analysis, scientific writing, presentation of research findings, manuscript preparation, and career development. Basic Qualifications EDUCATION Required PhD, MD, or equivalent doctoral degree in neuroscience
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; *Science, *2025). The project involves a combination of optical imaging, nanofabrication, data analysis
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21 Aug 2026 Job Information Organisation/Company Instituto Politécnico de Bragança Department Gabinete de Apoio a Projetos Research Field Biological sciences Researcher Profile First Stage
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academic partner in AF-B-STEP, contributing expertise in AF burden quantification, AI-based rhythm analysis, and digital biomarkers. The department has a strong data science environment, with an additional
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using Yale SPORE lung cancer biobank material Publish first-author papers, present at meetings, and help mentor junior lab members Required qualifications: PhD, MD, or MD/PhD in cell/molecular biology
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identified in financial data, and then the analysis will be extended to social data (which has already been collected). The successful candidate will: Develop and apply Symbolic Transfer Entropy estimators
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one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling
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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