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post doc position. Expected start date and duration of employment The position is from 01 January 2026 or as soon as possible thereafter. There is currently funding for a 1 year position but come
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substitution in the EGFRvIII peptide significantly increases survival in an animal model of glioblastoma by enhancing proteasomal processing. We also developed robust methods to detect a new class of non
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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors
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comprehensive "undergraduate - master - doctor" talent training system. Currently, it hosts a postdoctoral research station in mathematics, a first - level doctoral program in mathematics, and a first - level
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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of the Collective Wage Agreement and the respective personal qualifications. Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work. Place of work: Potsdam Have we
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disease, and mental health and well-being, both at home and abroad. Current US-based work focuses on the impact of residential racial segregation, redlining, tree canopy and other neighborhood determinants
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computational modeling and/or experimental immunoengineering techniques as exemplified by a strong publication record. Previous experience with flow cytometry, single-cell sequencing, and immunoassays is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
including: a) Perform literature review to assess current state-of-the-art in local-scale dispersion models and assess limitations and gaps b) Develop framework for developing a new modeling system for
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, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation protocols to generate