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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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classification and the modelling of neuron and circuit function. Data sources will be neuronal morphologies, connectivity and computationally inferred or manually annotated metadata and published experimental data
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cloning, synthetic biology, systems biology, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly solution
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. A typical candidate will have at least two years of experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor