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Field
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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(broadly defined), molecular dynamics simulations, sampling techniques, machine learning, or quantum computing are big pluses. The candidate should have good communication skills, both oral and written, and
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the structural-property relationship in polymers through molecular engineering, structural engineering, and advanced characterization across scales. With these insights, we resolve conflicting design principles
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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experience with multiscale modelling of materials - previous experience with molecular dynamics simulations Applications should be sent by e-mail, together with significant documents, indicating the reference
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mechanics, molecular dynamics, and data science tools to study the mechanisms of catalytic organic reactions and enzymatic reactions. Job Qualifications: · PhD in Computational Chemistry, Organic
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genomics, and molecular biology, to systematically investigate RNA biology in cancer initiation, progression, and resistance, leading to the discovery of novel therapeutic strategies for patients
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dedicated to advancing the understanding of the molecular mechanisms of hematopoiesis, granulopoiesis, and leukemia development. We also develop innovative gene therapy approaches for hematopoietic stem cell
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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researcher to join our dynamic team. Our group is embedded in a broader institutional strategy with a strong interest in cell and immune therapy. We study the bidirectional interac-tions between tumor cells