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transcriptomics, spatial transcriptomics, epigenomics, and their combination into multi-omic platforms, have transformed the life sciences landscape. At ISTA, we implement these diverse technologies across
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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spatial data visualization tools. Building AI solutions, including chatbots, RAG, and other LLM-based tools. Interest in and experience developing software to support data-driven research. Application
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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine
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found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview The Arctic is warming four times faster than the rest of the planet, and as a consequence tundra ecosystems are
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mechanisms underlying human memory, spatial navigation, and cognition. The Staff Scientist will collect intracranial brain recordings from neurosurgical patients, analyze neural signals for oscillatory
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for collaboration and graduate recruitment through the Cell and Molecular Biology program (http://cell.uark.edu ), Statistics and Analytics program (http://statistics-analytics.uark.edu/index.php ), and Center
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and biosensors to probe the biochemical and biophysical underpinnings of development cellular processes with high spatial and temporal resolution. We are seeking candidates with interests in
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spleen. Isolation of graft-specific T cells from rejecting and tolerant mice. Multicolor spectral flow cytometry of rare cell populations. Co-detection by indexing spatial imaging of secondary lymphoid