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, materials science, or a related discipline Advanced knowledge of rheology, fluid dynamics, and microfluidics to design and execute experiments simulating real-world conditions Demonstrated interest in soft
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networks and nonequilibrium thermodynamics of living systems. Current areas of interest include (but not limited to) molecular mechanisms and nonequilibrium thermodynamics in living systems responsible
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higher education institution in conjunction with an R&D unit in Chemistry, Biochemistry or related fields. Knowledge of protein modeling, virtual screening and classical molecular dynamics. In case
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written English. Preference will be given to candidates with an affinity for theoretical work and experience in working with molecular dynamics simulations. Where to apply E-mail natjecaji.pisarnica@irb.hr
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interphases. It is planned that the numerical simulations and theoretical predictions will help advance our understanding of these membrane wetting dynamics. The postdoctoral fellow will be part of the group
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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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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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of research. These include: Computational physics, including statistical mechanics, biophysics, fluid mechanics, quantum physics, and molecular dynamics Numerical methods for partial differential equations and
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. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic deformations and wetting-like processes at cellular membranes. The theoretical
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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