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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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neural data. The Postdoctoral Associate will perform research on cortical and downstream circuit mechanisms that support sensory-guided behavior using psychophysical training, in vivo multichannel
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provide meaningful explanations of their predictions to downstream users. A central aim of this project is to investigate how Vision-Language Models (VLMs), Multimodal Large Language Models (MLLMs), and
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utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA
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). This would be expected to include independently performing experiments utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited
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generative AI pipelines to process multimodal data for downstream analysis, developing teaching/tutor/district-facing systems to surface analytic insights. Applicants with experience in some—but not
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computational pipelines suitable for downstream integrative and AI-driven discovery. The role includes training PhD students, contributing to grant applications, project planning, and leading the preparation
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photoautotrophic and aerobic heterotrophic growth to enhance lipid and pigment productivity. In parallel, customised downstream processing strategies are developed for the extraction and purification of lipids
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disease-relevant cellular models of EBV-infected B cells, modulate ERAP2 activity, and read out the downstream consequences for antigen presentation, NK and CD8+ T cell cytotoxicity, and B cell survival
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altering intracellular and extracellular metabolic pathways to identify downstream cellular and molecular consequences of such manipulations. These results will relate metabolic perturbations outcomes to T