396 algorithm-development-"Multiple"-"Prof"-"Prof"-"University-of-Wisconsin-Madison" positions
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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and Electronics group in the Electrification Section of EEID/ ESTD, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop and deploy algorithmic tools for monitoring
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intelligence and machine learning, with a focus on applications in library and information science. The AI Research Scientist will design and implement novel AI algorithms and models to enhance and expand
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model performance across multiple development iterations. This hands-on experience will provide valuable insight into the application of AI and geospatial technologies in environmental research. What
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in collaborative, interdisciplinary teams. Linux development skills with Python and JavaScript. Understanding of data structures and algorithms. Familiarity with web APIs such as GraphQL, REST, and
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, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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environment empowering our people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to