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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Doctoral degree (or foreign equivalent) in Molecular Biology, Cell Biology, Genetics, or a closely related
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
to collaborative software development and version control systems (Git) # Experience with electronic structure and molecular dynamics simulation codes (VASP, QuantumEspresso, CP2K, LAMMPS) # Motivation to work
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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Chemical engineering or a related field. Extensive experience in unit operations and chemical processes. Ability to conduct experiments. Experience in using both steady-state and dynamic modeling, simulation
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specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to gain molecular-level insights into complex materials and systems. The lab is internationally recognized
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novel theoretical frameworks for atom-based quantum computing, including but not limited to: o Quantum error correction, fault tolerance, and resource optimization. o Entanglement dynamics, quantum
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. Develop and apply ab initio computations, molecular dynamics simulations, and machine learning models. Collaborate with other researchers within the group and external partners. Present research findings
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Job Description Department of Molecular Medicine at the University of Southern Denmark (SDU) is seeking a highly motivated postdoc for a three-year position. The position is available from July 1
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-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular