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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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of Psychology at the University of Liverpool. This position focuses on the computational modelling side of the project. You will work on extending an existing model of noun and verb acquisition (Brusini et al
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genetics, gene therapy, CRISPR-based gene editing, stem cell technologies, and translational disease modelling. We are particularly interested in developing treatments for retinal disorders prevalent in
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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animal models and human participants. Particular emphasis will be placed on identifying translational motor features that can be robustly and consistently quantified across species, including movement
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experimental models. Contribute to studies evaluating immune responses induced by genetically attenuated parasite (GAP) vaccines, whole-sporozoite vaccines, and controlled human malaria infection (CHMI) studies
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and adapt assimilation schemes based on generative deep learning methods (such as flow matching and diffusion models). The candidate should have previous experience in data assimilation and/or deep
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
lineage-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens