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towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will
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components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability
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metabolism, 2) the role of mRNA-binding proteins in cell regeneration, and 3) characterization of cellular and mitochondrial iron homeostasis. Using mouse models, histology, cell culture, differential
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mechanisms of cardiac arrhythmias. Our research integrates genetically engineered mouse models, cardiac electrophysiology, ion channel biology, and translational cardiovascular research to investigate how
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not a trivial absence check but a **positive configuration operator**: producing meaning through ellipsis. The system is **non-generative** (no language model), making it deterministic, reproducible and
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, multidisciplinary collaborative research environment. Primary Responsibilities Lead the state-of-the-art research using genetic mouse models for histology, single-cell transcriptomic, and spatial transcriptomic
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(inducible transposon mutagenesis), high-throughput sequencing, and animal models to generate comprehensive maps of bacterial genes that promote tissue-specific colonization and persistence. Job Description
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with computed tomography and digital subtraction angiography. • Familiarity with reinforcement learning methods. • Experience developing and applying statistical models to research datasets. • Experience
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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developed as diagnostic tools or therapeutics for cancer. The successful candidate will plan and conduct cell-based studies, establish and optimise experimental models, perform and analyse microscopy and