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transcriptomics, proteomics, and metabolomics. Collaborate with interdisciplinary teams to apply developed algorithms to diverse datasets. Perform integrative analyses of multidimensional datasets within
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can
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exploratory analysis on large, multi-dimensional datasets; (b) develop predictive/diagnostic models and algorithms to lead and support clinical/translational research; (c) work with cross-functional teams
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the neural mechanisms underlying goal switching and behavioural strategy selection, linking algorithmic theories of behaviour to defined microcircuits and pathways. The position will employ a multidisciplinary
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, software developments, and algorithms for robust analyses. Establish policies and procedures for users and staff to maximize the productivity of Center resources and keep the instruments performing optimally
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Development (R&D) Fellows to advance the frontiers of science. These individuals will hold a pre-eminence in peer communities external to Sandia, enhancing Sandia's visibility and prestige in the external
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-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data Collaboration in the development of algorithms/methods and development
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, and managing experimental and statistical data. Evaluate, develop, and test software solutions to support experimental and analytical workflows. Design, prototype and implement computational algorithms
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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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Contribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasets Participate in workflow automation and management using systems such as Snakemake