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single mirror image forms is often denoted as “A Signature of Life”. Homochirality is essential for, e.g., molecular recognition and information processing, enzyme functioning and cell replication. However
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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laboratories and Institute are well equipped in methods for nanomedicine preparation and characterization, cell culture and methods in molecular and cell biology to characterize, and quantify nanomedicine
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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(the Netherlands) Ron Fouchier has been awarded the M.W. Beijerinck Virology Prize 2023. As a professor of molecular virology at the Erasmus University Medical Centre, Fouchier studies how viruses evolve and can
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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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: 30 August 2025 Apply now As part of the EMBRACER project external link , you will use advanced models integrating our climate system to human behaviour to study potential scenarios of what could happen
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advanced operational strategies, such as model-predictive control, tailored to dynamic prosumer energy demand. Foster collaboration: Work closely with industrial and research partners, including CENAERO
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length