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comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics
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molecular dynamics simulations, applicable to materials science, biomolecules, or a related field. Programming experience (e.g., Python), with a strong background in developing and applying computational
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experience in one or more of the following NMR domains: Coding, modifying, and executing pulse sequences Simulating NMR spectra or phenomena Molecular simulations (molecular dynamics) based on NMR data Model
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characterization with advanced computational chemistry tools, including molecular dynamics, density functional theory and Grand Canonical Monte Carlo simulations. Position Requirements A recent or soon-to-be
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challenges and thrives in a collaborative environment. In addition, you bring the following qualifications: a PhD-degree in chemistry, biochemistry, molecular biology, biotechnology or related discipline
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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statistical inference Familiarity with random simulations Demonstrated interest in the dynamics of biological systems Essential Functions: Conduct mathematical, computational, and statistical analyses of models
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structural models and compute electronic and vibrational properties. Develop and train neural-network or other machine-learned interatomic potentials to enable large-scale molecular dynamics (MD) simulations
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in