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a suit of fast electronics (FPGA) that will allow the following achievements: 1) To rapidly repeat single-particle experimental dynamical trajectories to gain sufficient counting statistics in order
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approaches including flow cytometry, spatial proteomics, transcriptomics, confocal microscopy and biochemical assays. Utilize mouse models and patient-derived samples to explore how genetic and dietary factors
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
expertise in one or more of a broad range of computational methods including but not limited to: machine learning / AI, spatial computing, computational creativity, text encoding, social media analysis
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., CRISPR), plant transformation, and knock-out mutations to quantify effects on plant phenotypes. Learn statistical and molecular techniques such as single cell and spatial transcriptomics, and spatial
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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spatial data analysis and integration with phenotypic and clinical data; and machine learning and AI approaches for network modeling and regulatory module detection. These and other methods are developed
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
, spatial computing, computational creativity, text encoding, social media analysis, corpus linguistics, statistical analysis, web development. Confidence with at least one programming language is essential