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. Experience with molecular dynamics software such as LAMMS is desirable. Experience with molecular simulation software is beneficial. To apply please contact Dr Siperstein - flor.siperstein@manchester.ac.uk
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, carbohydrate-active enzymes, polymer chemistry, spectroscopic methods, material science, 3D-printing, statistical physics and molecular dynamic simulations, formulation technologies. Excellent communication
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-supervisor. Your immediate leader will be the Head of Department. Duties of the position Develop and test new models and protocols using classical simulation methods such as Molecular Dynamics (MD) and Monte
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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. To be a doctoral student means to devote oneself to a research
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tools from chemistry and biology, and apply these in studies of therapeutic peptides and proteins. Our aims are to develop modulators for protein-protein interactions (PPIs) and to provide molecular-level
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as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship We are seeking PhD candidates with high
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spend some time on placements in the industrial partner. We are seeking ambitious, inquisitive and innovative individuals to join our multidisciplinary research team. As part of a dynamic and
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of computational chemistry. Applicants can have a background from cheminformatics including RDKit, machine learning applied to chemistry, and molecular modeling Our group and research- and what do we offer? Our
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The aim of this project is to describe ion conduction and activation/inactivation processes by employing molecular dynamics and statistical mechanical methods. The expected outcome is an improved
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of molecular data in cancer genomics. The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source Data in cancer Genomics and the digital Economy (BRIDGE)”, recently