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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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exposures and human health, e.g. distributed lag nonlinear models, spatial Bayesian methods, case time series, case crossover; have experience with the management and analysis of large climate and/or health
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invites applications for a cohort of up to three outstanding Postdoctoral Research Fellows to join a dynamic, interdisciplinary team undertaking a spatially explicit, contextually informed, and justice
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troubleshoot as required Expertise and Specialization: Apply molecular biology skills to perform Next Generation Sequencing (NGS) library preparation, single cell analysis, spatial transcriptomics and other
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with RNA-based assays, spatial transcriptomics, cryosectioning, or histology Basic computational or data analysis skills (e.g., R, Python, ImageJ/Fiji, MATLAB) Experience with plant care, genotyping, and
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responsible for the development and implementation of data analysis methods to be used on two-photo imaging datasets collected by scientists within the center as well as the development of experimental
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of Cambridge. The successful candidate will contribute to designing and organising distributed data systems and data analysis pipelines, and will work on a research project funded by the Wellcome Trust and the
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of interactive web-based and/or immersive analytics environments that integrate temporal networks, heterogeneous spatial-temporal data, and AI-driven forecasting and simulation models. These environments will
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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of Chicago. For more information visit https://bfi.uchicago.edu and https://bfi.uchicago.edu/info-for/prep/. Job Summary The Research Professional will report to an BFI-affiliated faculty member at