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connection with frontier experiments in infrared nanophotonics and nanoscale microscopy. The work will combine multiscale electromagnetic simulations and analytical modelling to interpret and guide advanced
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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Lukas Stelzl (JGU Mainz) within CRC/SFB 1551, we now want to rebuild active transcriptional condensates from the bottom up - with molecular simulations and C. elegans experiments as direct partners
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outcomes: designing interventions that steer cells toward a desired molecular state, and updating trained models as new data arrive, toward a lab-in-the-loop setup. These directions build on our earlier work
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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collaboration with the Protein Engineering research group (https://merkxlab.nl/ ) and the Institute for Complex Molecular Systems (www.tue.nl/icms ). The research group initiated and organizes the international
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film. You will work closely with a second PhD candidate focused on synthesis and spectroscopy and with project partners at UvA and TNO. Your simulations and predictions will connect molecular-level
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Molecular Biosensing and the Protein Engineering research groups at TU/e (see www.tue.nl/mbx and https://merkxlab.nl/ ). Their fields of expertise on continuous biosensing and protein engineering are
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[2.1.1]hexanes as meta-benzene bioisosteres” Nat. Synth. 2026, DOI: https://doi.org/10.1038/s44160-026-01048-x . Starting date: 01/11/2026 Requirements Completed or close to completed MSc in Chemistry
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
bioinformatics or molecular biology position. We're looking for someone genuinely excited by the intersection of structural/molecular biology, physics-based simulation, and machine learning/deep learning – a