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We invite applications for a 33-month postdoctoral scientist position to work on the project “Teaming Up: Archaea-Bacteria partnerships to thrive in low-energy anoxic environments”. The position
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affiliated partners, focused on integrating multimodal brain imaging, genomics, and clinical data to advance understanding and prediction of dementia and related psychiatric disorders. The postdoctoral
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning
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/Administrative Internal Number: 6843254 Postdoc Employee Transposons Research Molecular and Cell Biology Position overview Position title: Postdoctoral Employee (003252) Salary range: The UC academic salary
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. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model
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are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability
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closely related field. Required Skills : Proficiency in Python/C and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras). Interest in or prior experience with
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. To learn more about the Center, please visit: http://med.stanford.edu/pmhw . The position will be based within a collaborative team that values a diversity of thought and background, cooperation, fairness