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, guiding the optimal use of new insecticide-treated nets.
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in mouse models of glioblastoma and brain metastasis to assess therapeutic efficacy and safety. Utilize multidimensional flow cytometry and single-cell technologies to conduct deep immunophenotyping
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. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites shape cancer
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cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites shape cancer progression-and where we
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cells within distinct metastatic niches. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche
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optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation
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niches. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites
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the dyes are continuously replaced. Building on our published and unpublished work, the successful candidate will advance nanophotonic and fluorogenic DyeCycling to map protein energy landscapes in
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, physiology, genetics, or a related discipline. Experience in diatom culturing, single-cell DNA isolation and amplification, phylogenetic, and sterol analyses is highly desirable, but not required
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an interest in bridging rigorous theoretical insights with challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex