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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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methods to biological and clinical research datasets. Primary responsibilities include analyzing bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics data; developing and maintaining reproducible
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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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(energy, spatial resolution, stability) Analysis and interpretation of experimental data Preparation of scientific publications and presentations at conferences Interaction with academic and industrial
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to natural resources include managed landscapes such as agricultural systems and working forests, where irrigation practices create complex spatial and temporal patterns that are difficult to detect and
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several types of spatial growth patterns which correlate with therapy efficiencies and overall survival (Vermeulen et al. J Pathol. 2001 , Nielsen et al. Mod Pathol. 2014 , Baldin et al. J Pathol Clinical
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Studies, MSc Urbanism and Spatial Planning). Courses will include introductory Dutch-taught courses within the BSc Geography, such as cartography, spatial data handling, and spatial analysis
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under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies. To learn more
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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as