218 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S"-"Newcastle-University" positions in United States
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Field
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at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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life support system detailed in the research program. The project will include use of sensors, control algorithms, and computer simulations of clinical disease to inform development of an automated form
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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, care deeply, and believe in being the difference in their work and community. We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who
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: 272342957 Lead Research Software Engineer US-NJ-Princeton Job ID: 2024-19506 Type: Full-Time # of Openings: 1 Category: Information Technology Overview The Princeton Language and Intelligence Initiative
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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” framework introduces evaluation checkpoints throughout the development lifecycle and after deployment to ensure that transparency, quality, and ownership are maintained for all algorithmic solutions. ABCDS