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science, drug discovery, or related fields are encouraged to apply. Strong computational backgrounds, proficiency in at least one programming language (e.g., R, Python, Perl, C++, Java) and knowledge
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dynamics, and bond valence. Strong coding skills including object-oriented programming, software engineering practice (version control, unit testing, continuous integration). Preferred language of experience
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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering
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postdoctoral associate level researcher interested and experienced in applied data science to work jointly with chemists, mathematicians, and computer scientists at NIST to participate in the characterization
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degree (Ph.D., C.Sc. or equivalent), completed less than 4 years prior to the date of application. Candidates who have nearly completed their doctoral degrees are eligible to apply provided
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relevant field of computer science or informatics for this position, such as programming language theory, formal methods or semantic technology A solid documented background in theoretical computer science
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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PhD Research Fellowship on Literature and Generative AI Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around us
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Apply now Job no:533537 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate One of Australia’s leading research & teaching universities Vibrant campus life with a
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme allows scientists to carry out research with German colleagues at universities, universities of applied