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Field
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following areas of research: Economics and Statistics. Specific duties include: ? Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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! The Clinic focuses on inflammatory diseases of the central nervous system, especially multiple sclerosis. As part of the Department of Neurology, we study the pathogenesis and treatment of this and other
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations
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fully understand exactly what ?done? looks like before we start the development of a project. Responsibilities* Develop cutting edge machine learning algorithms for various parts of the online system
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initiatives. Key Duties & Responsibilities: 1. Develop computational methods and effectively resolve research problems utilizing multiple scientific methodologies. 2. Partner with business partners across
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| Computer Science and Engineering The National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Imageomics Institute is seeking to hire a Research Technician 1 to provide algorithm development
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to biomedicine. The Ideker lab also supports multiple open-source software projects, some with 10K+ users. The Research Software Developer will work under the supervision of the senior members of the software
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences