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collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods
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”) on the development of material flow analysis (MFA) methods and digital methods for spatial analysis. Specific tasks comprise: Design and apply digital models for analyzing and simulating circular futures
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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Developing a regime map for the roller compaction process School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Agba Salman Application Deadline
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 5 days ago
on bubble coalescence using innovative multicolour thin-film interferometry # Evaluate synergistic effects between ions in recycled water and added frothing agents, and determine film lifetimes for model
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other pathogens; radioactive materials; medical waste; and sharp implements. Website https://physiology.natsci.msu.edu/ Department Statement The Department of Physiology and Division of Pathology Division
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Scientist Position #: 00845968 – Requisition #:39260 Job Summary: Our laboratory develops translational models of transplantation and regeneration to study immune responses, neuronal connectivity, and tissue
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research assistant to work on determining which component of a binary-star system a planet is orbiting using multi-color transit photometry. The successful applicant will model exoplanet light curves, and
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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at the surface of various materials. Key Responsibilities: Perform quantum mechanical calculations (DFT) for establishing reaction mechanisms and kinetics Develop and apply advanced computational models to predict