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Field
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uses a range of approaches, including in vivo and ex vivo mouse models, primary human cell culture, and in vitro organoid cultures. Responsibilities Responsibilities include conceptualizing and
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expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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of Biochemistry, Molecular/Cell Biology, and/or BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset
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preferred. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis
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for working with both public health and/or environmental data/models, and experience working with an interdisciplinary team of researchers and stakeholders. This position is based at the Kansas Geological
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, chronic pain, and autonomic dysfunctions. Primary Responsibilities ï‚· 35% â“ Conduct computational modeling and/or analyze data from clinical and preclinical studies related to neurological conditions (e.g
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, candidates will have experience with - or the confidence to learn - numerical modeling of planetary atmospheres, thermodynamics, and equilibrium chemistry. Instructions Submit the following materials via
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perform one or both de- and re-conjugation, what determines a cell’s choice between de- versus re-conjugation, and under which specific conditions bacteria preferentially perform one versus the other
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engineer and Postdoc P1 to ensure cross-vector coherence in infrastructure models and boundary conditions. Participating in the design and execution of scenario simulations, including policy- and technology