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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $29.68 - $42.48 (Hourly Rate). To learn more about
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Educational NLP with Multi-Agent and Multimodal LLMs for Inclusive and Collaborative Learning School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Zheng Yuan
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 10 days ago
» Veterinary medicine Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 29 Oct 2025 - 23:59 (Europe/Vienna) Type of Contract Temporary Job Status Part
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also developing skills in data analysis and machine learning. This role offers a unique opportunity to grow as a researcher, contribute to high-impact publications, and shape the future of biomolecular
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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to design and teach one section of a Liberal Studies Special Topics course, “Here, There, and Everywhere: The Life and Legacy of the Beatles." Candidates should have a PhD in a humanities or social sciences
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to design and teach one section of a Liberal Studies Special Topics course, “Photography and Landscape.” Candidates should have a PhD in a humanities or social sciences discipline and significant experience
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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(Python, C++). - Knowledge of AI, machine learning, control systems, or reinforcement learning. - Ability to work independently, communicate effectively, and contribute to collaborative research. Desirable
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setting up a Bioinformatics team which will focus primarily on the development and application of methods (including machine learning) for interpreting combined genomic, transcriptomic, metabolomic and