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knowledge and/or background in the area. Previous experience in one of the following areas, including assessment and feedback, curriculum design, e-learning, data analysis, and advanced statistical skills
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environment with 400 employees and 10 research sections spanning the scientific disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees
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year to support professional development (e.g., travel to workshops or national conferences, purchase of education materials). Minimum Requirements: PhD degree in computer science, statistics
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. Experience with statistical characterization of data, preferably within a Bayesian framework. Preferred Qualifications: Experience developing a (semi-)independent scientific research program on topics in
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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), and 3) developing digital 3D atlases and various neuroinformatics tools. We utilize high-resolution 3D imaging tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
for treatment response. Collaborate with experimental teams, clinicians, and biostatisticians to validate computational findings in clinical cohorts. Publish research findings in peer-reviewed journals and