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Field
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dynamics with in vivo downstream signaling response. • Engineer and isolate high-quality, homogeneous samples of GPCRs and signaling partners for ensemble and single-molecule analytical assays. • Expand your
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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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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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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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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
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in to metabolic relevant cell-types Experience in next generation molecular biological tools e.g. next generation sequencing, Chip-Seq, Cut&Tag , preparation of libraries for sequencing and downstream
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datasets that support milestone decisions, design iterations, and downstream validation planning. Perform other project-related duties as assigned. Adaptability, excellence, and passion are vital qualities
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impact on sediment supply and riverine sediment fluxes, with cascading downstream consequences for river morphology, ecosystems, and water users. The successful candidate will spearhead the development