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Monash/Bayreuth Double PhD Degree Opportunity - Accelerating organic semiconductor discovery with generative AI, molecular dynamics and DFT Job No.: 698040 Location: Clayton (home) and Bayreuth
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to medium level skills in programming, image analysis and electronics • Solid knowledge and hands-on experience in light and electron microscopy. • Solid formation in genetics, statistics and molecular
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) biometrics, with methodological developments in statistics, computer science, and mathematics for modeling living organisms; (ii) ecology and evolution, studied from the molecular and genomic levels
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biologically driven questions, ideally experienced in MD simulations. Other important criteria are: Relevant experience with molecular modelling, molecular dynamics simulations and/or analysis of molecular
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assays (e.g. Luminex), molecular biology assays (e.g. nanoString), protein assays (e.g. western blot), immunohistochemistry, flow cytometry, and microscopy. This position will be expected to follow
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
cellular observations. Where appropriate, modern structure prediction tools may support the construction of realistic simulation models. The project is ideally suited for candidates interested in molecular
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glycans. You will combine glycan-based tools, molecular biology, and biochemical or analytical approaches to identify and characterise glycan receptors that drive influenza host and tissue tropism. We
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
pathways in cellular and mouse models of metabolic diseases You will perform biochemical and cell biological characterization of protein localization and organelle interactions You will apply and further
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
-equilibrium processes” focuses on dynamic processes that take place out of equilibrium conditions. In particular, we are interested in resolving the molecular reaction mechanisms (under near-reaction conditions
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage