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of Molecular Medicine - Ruđer Bošković Institute, Laboratory for Protein Dynamics, for working in the area of Biomedicine and Health, in the field of Fundamental Medical Sciences, on the project: "Deciphering
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instruction. Preferred Education / Experience PhD and/or MD/DO preferred such as Biomedical Sciences, Physiology, Pathology, Molecular and Cellular Biology, or related field is required, as is the flexibility
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of lung cancer genomics, transcriptomics, and molecular biology. The successful candidate will join a young, dynamic, and interdisciplinary team dedicated to uncovering the molecular mechanisms driving lung
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), which establishes and maintains transcriptionally silent chromatin states. This PhD project aims to investigate how structural and biochemical features of these Polycomb proteins determine their
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international partners to develop evidence-based solutions that inform policy and advance public health in Singapore and the region. SSHSPH provides a dynamic, interdisciplinary environment that supports
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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physiology and biotechnology, cell and molecular biology, immunology, cancer biology. The program offers a dynamic and internationally competitive research environment with state-of-the-art research
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the research team. Applying for research grants Qualification and personal qualities The applicant must hold a Norwegian PhD or equivalent doctoral degree in molecular and cell biology, and neurochemistry
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations