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of Assistant Teaching Professor in Spatial Data Science. The successful candidate will teach and advise students in Penn State’s online geospatial education programs: https://geospatial.psu.edu . This is a 36
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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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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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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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resources that drive innovative biostatistical and statistical methods. Opportunities for broader impact include initiatives such as the Cancer AI Alliance: https://www.canceralliance.ai . All faculty
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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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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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at the University of Oxford, the British Geological Survey, and with various external partners, including government bodies and industry as part of the DarkSeis (https://geophysics.gly.bris.ac.uk/DarkSeis/index.html