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Research Assistant for Applied Mathematics - Responsibilities - Analyze a dataset of case law in the domain of worker classification and develop algorithms to predict judges decisions based
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Officer will be mainly responsible to process geophysical data and analyze the data using machine learning algorithms. The position involves in conducting research, supervising undergraduate students, and
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, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding the best ways to distribute visual computation along
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grow the computer science and distributed infrastructure aspects underpinning AI4Science at scale. In addition, the incumbent will be mentored and work with CSD Leadership, participate in building core
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of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working
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to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be
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, including: asymptotic enumeration of (hyper)graphs with highly irregular degrees; distribution of small subgraphs in random (hyper)graphs with highly irregular degrees, and extensions of these considerations
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studies for project-based research topics. Contribute to the development of algorithms and models to enhance the reasoning abilities of large language models in the healthcare domain. Job Requirements
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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals