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colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
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colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
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. Our mission is to move beyond descriptive biology and develop predictive, mechanistic models that connect molecular regulation to cellular and systems-level phenotypes. The Laboratory of Computational
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics (including single cell and spatial transcriptomics) our
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 20 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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, and local communities. c. Architectural & Spatial Integration of the Yachting Industry Develop spatial models and layout concepts for: Shipbuilding and repair facilities Marina technical zones Yachting
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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
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-imaging tumourigenesis within the optically translucent Drosophila pupa. 2: Establishing RNA sequencing protocols for implementation with a Drosophila tumour models (bulk, single-nucleus sequencing
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, voids, delamination, corrosion, and internal structural discontinuities. The PhD candidate will investigate Vision Language Models (VLMs), Multi-modal AI solutions, and 3D scene reasoning approaches