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demonstrated that this transition involves mechanochemical dynamics in gastruloids, in vitro models derived from embryonic stem cells (Hashmi et al., eLife 2022; Gsell & Tlili et al., Nature Physics 2025
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of configurations generated in silico as well as their thermodynamic, dynamic (phonon), and mechanical properties, and performing DFT/MLIP NpT and NVT molecular dynamics simulations. - Analyzing and exploiting
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Molecular motors are key elements in the transport of molecules within cells
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related), molecular dynamics (GROMACS, NAMD) and docking (VINA and derivatives). - Proficiency in Python and Fortran languages and Bash scripting. - Proficiency in RDKIT and BioPython. - Proficiency in
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(NPCs) in cancer cells. - The selected candidate will study the mechanisms of nuclear pore assembly in cancer cells. - He/she will study the exact molecular mechanisms by which UBAP2L regulates NPC
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optimization code used, particularly for automated transition state searches. • Perform molecular dynamics simulations to estimate thermodynamic/macroscopic properties. IPREM brings together over 300 staff
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-rich environments. The candidate will participate in field sampling, species identification, and laboratory cultivation of nematodes from extreme habitats. The candidate will also take part in molecular
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cellular biology approaches, this project aims to identify the fundamental molecular and physical principles governing lipid homeostasis and organelle dynamics. The project is based on an interdisciplinary
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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high-resolution microscopy • Mammalian cell culture and genetic manipulation • Molecular and biochemical assays • Quantitative analysis of intracellular trafficking dynamics The project will be carried