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the transport and interaction of radiolytic species. To address this issue, the second approach will rely on molecular dynamics simulations using the LAMMPS code and ReaxFF empirical potentials, following
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17 Jul 2026 Job Information Organisation/Company Foundation for Research and Technology-Hellas Department Institute of Molecular Biology and Biotechnology Research Field Biological sciences
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The project unites systems chemistry, advanced microfabrication and quantitative microscopy. It also offers the chance to develop simulation approaches for reaction–diffusion processes to rationalize and
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
; Experience working with cell cultures; Experience in molecular biology techniques and microscopy will be an additional advantage; Documented proficiency in English at B2 level; Precision, conscientiousness and
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). Our overall aim is to understand the molecular mechanisms of haematological cancers, and based on this; to design, develop and implement novel, scientifically based, clinical trials, with a strong focus
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multimodal algorithm of epigenetic blood predictors of the clinical benefit of SBRT in immunotherapy-resistant tumors Research Line: IBIMA-BE-17 CLINICAL, MOLECULAR, AND TECHNOLOGICAL RESEARCH IN RADIATION
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Laboratory of Physics of Ionic and Molecular Interactions (PIIM) is a
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will
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integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time