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related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include
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community; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 2 months ago
administrative housing data, environmental indicators, and accessibility metrics — and apply advanced spatial methods such as multilevel modelling and geographically weighted regression to identify relevant
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immediately, depending on visa status and requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html (link is external) https://www.devo-evo.com (link is external) How to Submit
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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for Integrative genomics team at the Institut Pasteur as part of the ERC Starting Grant MULTIview-CELL, will be working on the development of a virtual tissue model bridging cell-cell communication and gene-gene
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situ or even operando (laboratory and Synchrotron), and modeling tools (Monte Carlo, molecular and Brownian dynamics, machine learning), allowing, as often as possible, spatially and temporally resolved
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Scheduled Hours 40 Position Summary As a Senior Bioinformaticist at Washington University, you will play a key role in advancing cutting-edge spatial biology and multi-omics research within
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be