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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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Adrian Svendsen Bensvik 21st September 2025 Languages English English English Faculty of Biosciences and Aquaculture PhD: Dynamic genomes and invasive species Apply for this job See advertisement
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! You will demonstrated expertise in developing machine-learning interatomic potentials (MLIPs) for large-scale molecular dynamics (MD) simulations of materials. Together, we will push the boundaries
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dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research. We are looking for a motivated and ambitious PhD candidate
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Dynamics is a vibrant and creative research environment. For us, teamwork is key. We share experiences and help each other to create the best possible science in a fun and inspiring research culture. Our
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chemistry, cell and molecular biology, biochemistry Honors (first class) or MSc degree in Chemistry/Pharmacology/Pharmaceutical Sciences Essential experience: Synthetic/medicinal chemistry (small molecule
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following criteria: BSc, including synthetic chemistry, cell and molecular biology, biochemistry Honors (first class) or MSc degree in Chemistry/Pharmacology/Pharmaceutical Sciences Essential experience
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chemistry, biochemistry, cell/molecular biology Honors (first class) or MSc degree in Chemistry/Pharmacology/Pharmaceutical Sciences Essential experience: Synthetic/medicinal chemistry (small molecule
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nanomanufacturing process to overcome the challenges of atomic sale precision, feature size and defects rates for quantum dots. In this project, molecular dynamics simulation study of light matter interaction
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leaflets. However, most studies to date have focused on symmetric bilayers. This project addresses this gap by integrating molecular dynamics simulations with experimental techniques such as solid-state NMR