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Field
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microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data. This position offers an opportunity to work
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Marine Biodiversity, you will develop and validate a multimodal bioimaging workflow that connects sensor measurements with their biological meaning. The model will combine RGB images, hyperspectral imaging
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an evaluation framework for vision-language model (VLM) with applications in the personal care sector. The research focuses on fine-grained VLM capabilities such as spatial reasoning, temporal grounding, event
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along many kilometres of fibre with down to metre-scale spatial resolution – a technique coined Distributed Acoustic Sensing (DAS). The long-term ambition is to enable high-resolution, real-time warning
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that interface with one or more of the following: spatial translatomics, RNA translation, translational regulation, RNA therapeutics, RNA diagnostics, non-canonical open reading frames, and genomics with a focus
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
refinement Identify missing physics from simulations (spatial inhomogeneity, back-reaction, attractors) and propose model extensions or semi-empirical corrections. Derive/implement models and fit parameters
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focus on advanced spatial and environmental data analysis. Based at Queen’s University Belfast and working closely with Technological University Dublin, the Research Fellow will contribute to a dynamic
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H. Lee Moffitt Cancer Center & Research Institute | Tampa, Florida | United States | about 2 months ago
microenvironment, and further reprogram the T cells to such states. We use patient-derived samples, genetically engineered mouse models, along with state of the art molecular methodologies, including transcriptomics
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the Department of Ecology and Evolutionary Biology at the University of Michigan. Research in the lab is focused on the geography of evolution, and particularly on developing statistical methods for spatial
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data collection with quantitative statistical and modeling analyses and are collaborations with natural resource managers, veterinarians, and academics. You will learn to develop and conduct research