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of a novel lipid nanoparticle (LNP)-mRNA platform for functional gene delivery in cancer. The research will integrate formulation science, molecular biology, and preclinical cancer modeling
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involves developing and application of interpretable machine learning methods combined with physics based molecular dynamics simulations to uncover allosteric regulation of disordered regions in the dynamics
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interatomic potential to incorporate materials response . Resulting models are implemented in LAMMPS and are used to perform ML-accelerated large-scale dynamics simulations to investigate the evolution
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transport simulation with MATSim experience, including scenario development, calibration and validation • Experience applying travel demand modelling to evaluate policy and mobility scenarios • Strong
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Assistant Research Fellow - Statistical Modelling and Econometrics-2600126 __________ DIVISIONS OF SCIENCES | TE ROHE A AHIKĀROA OTAGO BUSINESS SCHOOL | TE KURA PAKIHI INTER-DEPARTMENTAL
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infrastructures for Materials Generative Design and Testing Framework. The role will focus on the development of first-principles methodologies and implementations of structures modelling and properties
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Research Fellow in Earth System Modelling Salary: Grade 7 (£41,064 – £48,822 p.a. depending on experience) Location: Met Office, Exeter (with scope for hybrid working) Would you like to join a team
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to candidates of all nationalities. Our colleague Pedro Duarte wants to hear from potential candidates interested in joining his team to work with coupled physical-biochemical models
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responsibility of this role is to deliver an industry innovation research project as part of a research team developing molecular and sequencing workflows for microbial characterization. The work supports the
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, pharmacophore modelling, and molecular dynamics simulations to design novel GPR84 ligands with predictable signalling bias profiles. About the person: The successful candidate must have, and your application