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and neural computation. By leveraging the rich data repository on the larva’s neural connectome and muscular structure, the project seeks to create accurate simulations that can inform biological
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their magnetic state at the nanoscale using scanning NV center magnetometry, both at 4K and room temperature. We will in particular examine domain walls, as their internal structure should give us insight about
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an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis
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for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or Parkinson's Disease, or markers of brain structure and functioning, depending on the dataset
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the use of excited-state methods (TD-DFT, ADC(2), etc.) to explore the relationships between the molecular structures, photoinduced electron transfer (PeT), and chirality in strong connexion with
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channels Predict variant-specific protein structures using AlphaFold Co-develop machine-learning approaches to incorporate quantum effects in molecular dynamics simulation Predict variant-specific drug
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a broad range of disciplines, including Molecular Biology, Cellular Biology, Developmental Biology, Genetics, Genomics, Bioinformatics, Microbiology, Structural Biology, Advanced Microscopic Imaging