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Field
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). • Required Skills: 1. Strong background in statistical mechanics and thermodynamics 2. Proficiency in first-principles calculations (VASP, Quantum Espresso) and molecular dynamics simulations (LAMMPS, OpenMM
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: Faculty of Sciences (Department of Biomedical Molecular Biology, WE14) Last application date September 30, 2025 Anticipated starting date February 1, 2026 Contract Full-time, tenure-track position with
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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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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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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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professionalism Demonstrates time management and priority setting skills Demonstrates a high commitment to quality Possesses flexibility to work in a fast paced, dynamic environment Highly thorough and dependable
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About us The Department of Chemistry is a dynamic and collaborative environment within the Faculty of Natural, Mathematical and Engineering Sciences, dedicated to cutting-edge research and academic
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behavior within the storage system to optimize design and performance. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational
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: Pr. Johan Jacquemin – johan.jacquemin@um6p.ma Research Activities Develop independent research programs in Molecular Dynamics (MD) Simulation of Materials with a focus on computational modeling and
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into both stoichiometric and dynamic models to simulate production performance. Key objectives include improving yield and productivity through iterative design, modeling, and refinement steps, ultimately