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or more of the following areas: (1) Generative AI and machine learning, (2) affective computing, (3) human-computer interaction or collaborative AI, and (4) interaction design, experimental design or
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the start date, a PhD in Data Science, Computer Science, Electrical Engineering, Electrical and Computer Engineering, or a closely related field. The applicant’s research should focus on machine learning
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field. Strong foundations in machine learning and familiarity with current AI tools and practices. A solid understanding of large language models, in particular their reliability, security, and
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developing statistical analyses and deploying machine learning models for continuous analytics tools and dashboards. Strong data engineering skills, especially developing data pipelines from one-time data
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8 Jul 2026 Job Information Organisation/Company Institute of Fundamental Technological Research Polish Academy of Sciences Research Field Engineering » Computer engineering Computer
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employed for the auralization of an existing electric vehicle. The PhD is supervised by prof. Dionysios Panagiotopoulos (https://www.kuleuven.be/wieiswie/nl/person/00120151 ) from the KU Leuven LMSD division
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sections for applications. Technical Authority: Maintain comprehensive knowledge of NGS data analysis flows, including but not limited to WGS/WES, scRNA-seq, 4C, and HiC, as well as modern machine learning
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for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr
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, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT, computational fintech, robot-human interaction, Trustworthy AI, Explainable AI, Large Language Models