43 advance-soil-structure-modelling Postdoctoral positions at Northeastern University
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interest in applied child and youth development research and evaluation and possess advanced statistical methodological skills. The candidate will also have an appreciation for taking a mixed-methodological
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cell driven regeneration using mouse models. The successful candidate will support projects investigating the molecular mechanisms of osteoarthritis and epiphyseal cartilage regeneration, as
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and internal seed funds, we can provide unique opportunities to engage in a variety of currently funded projects as well as to promote ideas for new projects that can advance the broad aims of our
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molecular separations, which have the potential to significantly advance global sustainability goals. This postdoctoral position explores the design, synthesis, characterization, and gas sorption studies
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quantitative methods and analyzing structural and functional neuroimaging data. Applicants should be highly motivated and creative, have excellent oral and written communication skills, and demonstrated research
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potential to significantly advance global sustainability goals. This postdoctoral position explores the design, synthesis, characterization, and gas sorption studies for new types of porous materials
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graduate student Qualifications · Ph.D. in immunology, microbiology, cell biology or related areas · Experience with in vivo animal models or multi-color flow cytometry are preferred · At least one first
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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) Provide meticulous documentation, analysis, and summarization of results (including digital/photographic documentation and computational/modeling/analysis as needed) Assist in project management and co
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers