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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
-Institute for Plasma Physics in Greifswald offers within the division Stellarator Reactor Studies a PostDoc-position for a Physicist or Engineer (m/f/d) for the development of computational models
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Claudia Monaco’s research group at the Kennedy Institute of Rheumatology. In this role, you will apply single cell biology and cell signalling techniques combined with in vivo and in vitro models
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. The successful candidate will conduct research involving animal models, specifically using the rabbit cornea. Responsibilities also include publishing findings in leading journals and conferences, leading group
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strong background in any of the following: preclinical models, vascular/cancer biology, or cell biology. Applicants should be comfortable working both independently and as part of a team, with strong
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disease progression. About You Applicants should hold a PhD degree or equivalent in biological or related science and have a strong background in immune cell biology and animal models of inflammatory and/or
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transfer module, enabling automated introduction of purified fractions into the MS system. This will involve segmented flow and automation, with the goal of establishing a robust, high-throughput platform
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow