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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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heterostructures. This position offers opportunities for collaborative theory development, advanced numerical modeling, and participation in a vibrant, multi-institutional research environment. Regular joint
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information about the project can be found at the following website https://palliativeprojects.eu/in-touch/ Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between
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computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
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neutron source. About us The Division of Chemical Physics at the Department of Physics focuses on the investigation of functional nanomaterials, where most projects are connected to the development
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laboratory entirely dedicated to heterogeneous processes, focuses its research activities on the challenges of sustainable development. What we offer: • A stimulating work environment with opportunities
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
at Chapel Hill, for a self-motivated scientist to study the role of laminin-binding integrins in lung development, alveolar homeostasis, and alveolar repair. We utilize lung-specific transgenic mouse models
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group which is responsible for the development of the Ambient Pressure X-ray Photoelectron Spectroscopy Program at MAX IV. The beamlines provide a wide range of sample environments for in situ and
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at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design