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Köhler Lab, Max Perutz Labs, Vienna BioCenter Rethinking cellular boundaries Cellular boundaries are not passive—they are interfaces that convert spatial separation into function. Membranes, nuclear
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Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
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background in analyzing large astronomical datasets is essential, particularly in characterizing non-isotropic distributions and spatial-kinematic properties using Gaia and/or DESI data. Proficiency in
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of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In this project
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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-new lab that previously made important contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include
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mechanical design Experience with beam shaping techniques (e.g., spatial light modulators, diffractive optical elements) Proficiency in programming languages like LabVIEW, Python, MATLAB, or C++, and
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, S., A. Chaderjian, and O. A. Saleh (2023). Spatial organization of phase-separated DNA droplets. Physical Review X 13, 031014 Wilken, S., Abraham, G. R., and O. A. Saleh (2024). Condensation and
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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, statistics (including spatial statistics), and in mapping and visualization. The ideal candidate will also have demonstrated capabilities in research project management and the ability to communicate research