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- Delft University of Technology (TU Delft)
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a diverse international team of postdoctoral researchers, PhD candidates and technicians with complementary expertise in modelling, molecular biology, genomics, microbial physiology, synthetic biology
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), ideally geometric/graph neural networks, equivariant models, or generative models. Interest in applying AI to molecular or biological problems; prior structural biology experience is a plus but not required
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. The position is part of the ERC Starting Grant project ACTIN in ACTION, which investigates the molecular mechanisms of actin-based motility in the intracellular bacterial pathogens Shigella and Listeria
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molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry partners. Job description At TU Delft, you will contribute to a transformative research
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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of Ophthalmology of the UMC Utrecht and the ErasMS team at Erasmus MC Rotterdam. You will use state-of-the-art molecular and cellular techniques available at the Kuiper group and its collaborating labs to elucidate
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to lanthanide molecular magnets. While the SFX2C-1e model has been recently used to model core-level spectra, its combination with EOM-CC for molecular magnets has lagged behind. We will link EOM-CC to SFX2C-1e
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Biomolecular Sciences and Biotechnology Institute (GBB), Faculty of Science and Engineering. The position is part of the ERC Starting Grant project ACTIN in ACTION, which investigates the molecular mechanisms
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to lanthanide molecular magnets. While the SFX2C-1e model has been recently used to model core-level spectra, its combination with EOM-CC for molecular magnets has lagged behind. We will link EOM-CC to SFX2C-1e
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: A PhD degree in chemical engineering, mechanical engineering, materials science, physics, or a related field. Demonstrated experience with molecular simulation and/or process modelling and simulation