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focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
, genomics, and evolutionary biology. The postdoc will join a team of scientists at the University of Texas and will work in close collaboration with the labs of Dr. Ainash Childabayeva and Dr. Melissa Kemp
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Submission Opportunities Sabbatical Opportunities Postdoc Opportunities Funding Databases Gifts vs Grants Proposal Preparation Proposal Preparation expand_more Overview and Onboarding PI Eligibility Grant
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: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . The Fellow will train under the supervision of Institute leadership and faculty mentors
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will
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uncertainty. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic
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simulation platforms such as NVIDIA Isaac Sim, Isaac Lab, Gazebo, or MuJoCo. Familiarity with humanoid robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning
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employment and the consequences of use. The post-doctoral fellow will apply physics, engineering, and advanced computational techniques, such as machine learning and data science, to provide technical subject
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boosting, and related machine-learning approaches Evaluation of model generalizability using train/test splits, leave-one-cohort-out validation, and leave-one-platform-out validation Assessment of predictive
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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01