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: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-2 years by mutual agreement. Appointment Start Date: Flexible Start Date Group or Departmental Website: https
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv
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world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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of OSPAR-listed elasmobranchs (sharks and rays). The purpose of this role is to deliver the project’s spatial and statistical modelling components and integrate advanced marine sensing data into practical
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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, fixed term contract upto July 2026). Spatial abilities include the ability to understand the spatial properties of objects and to mentally visualise objects and problems. Spatial abilities in childhood
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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/ Center / PI Job Title: Postdoctoral Associate - Machine Spatial Reasoning Office/Location: SUNY Polytechnic Institute The Center for Safe and Secure AI Robotics is looking to hire a post-doctoral associate