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(GHGs), by greatly improving the accuracy of spectral line data, traceable to the International System of Units (SI). The candidate will develop molecular dynamics simulations to investigate refined
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lab (marklundlab.com ), we investigate how sequence information in biological macromolecules governs recognition, binding, and dynamical structure. We combine high-throughput measurements of molecular
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, molecular dynamics) to investigate physical properties and phenomena in nanomaterials. Analyze and interpret computational results; prepare high-quality manuscripts and research reports. Present research
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engineering. Such changes can often be informed through mechanistic understanding of the destabilising processes. About the role This industry-sponsored project will explore molecular dynamics simulations
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multistate-multiphysics deep learning potentials and polarizable embedding methodology to simulate photoinduced charge-transfer dynamics in multichromophoric systems, such as photosynthetic reaction centers
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and development activities in the fields of atomistic simulations, including density functional theory, machine learning, and molecular dynamics. The work involves theoretical and experimental research
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, materials science, or a related discipline Advanced knowledge of rheology, fluid dynamics, and microfluidics to design and execute experiments simulating real-world conditions Demonstrated interest in soft
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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). • Required Skills: 1. Strong background in statistical mechanics and thermodynamics 2. Proficiency in first-principles calculations (VASP, Quantum Espresso) and molecular dynamics simulations (LAMMPS, OpenMM
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python