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electronic structure methods Code development experience Position Specific Preferred Qualifications: Experience with electron-phonon coupling and anharmonic lattice dynamics Contributions to open-source
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University of Jena - Cluster of Excellence "Balance of the Microverse" | Jena, Th ringen | Germany | 4 days ago
medical fields to enhance our understanding of microbial balance from the molecular to the ecosystem level. We develop tools and detection technologies to shape microbiome dynamics for environmental and
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study their structures and dynamics using multi-scale simulations, which include all-atom molecular dynamics (MD) simulations, coarse-grained MD simulations, quantum mechanics/molecular mechanics (QM/MM
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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part of a dynamic scientific environment with renowned researchers in the fields of hematology and leukemogenesis (https://gencelldis.fr/l-benajiba-team/ https://www.institut-leucemie.fr/en
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of this disease. The team is young, dynamic, and international. It benefits from an ERC Starting Grant funding and the ATIP-Avenir label. It is part of a dynamic scientific environment with renowned researchers in
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structures, interlocking forms and the notions of scale, while the temporal dimension is explored by reconstructing past trajectories through the study of forms, sedimentary fillings, natural and historical
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NMR spectroscopy has emerged as a unique and powerful approach for probing biomolecular structure, dynamics, and interactions directly within living human cells under near-physiological conditions. It
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construction projects, and enabling data-informed decision-making across the School. This position offers an exciting opportunity for a proactive, detail-oriented professional to contribute to the planning and
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kinetics, pharmacokinetics, cancer immunotherapy, and circadian rhythms. The intercellular dynamics team aims to develop inference methods for dynamic cellular networks and apply them to uncover structures