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considerations in research involving human subjects. PREFERRED QUALIFICATIONS Expertise in epidemiological methods and study design. Experience with longitudinal data analysis and complex survey design
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry
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University of Helsinki, Department of Mathematics and Statistics Position ID: 568 -POST_STAT [#26743] Position Title: Position Type: Postdoctoral Position Location: Helsinki, Southern Finland
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working
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The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) is seeking a highly motivated Postdoctoral Researcher
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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Interdisciplinary Collaboration Program in a project that spans oceanography, ecology and mathematics. The position will be based at NYU Abu Dhabi starting September 1, 2025 for two years, renewable depending
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, complex systems, and network science to develop, evaluate, and implement novel models to support public health decision making needs. Responsibilities Lead and contribute to projects using mathematical and