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welcome you to apply for a DDLS PhD position in Data-driven cell and molecular biology at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a
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prior experience in planning and conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. Interested applicants are advised
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and
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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in
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of this project, please contact Prof. Tony McNally (T.McNally@warwick.ac.uk ) directly for further information. Essential and Desirable Criteria: 1 or 2.1 degree in Materials Science & Engineering, Chemical
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printing tests using the in-house developed data acquisition system as an in-situ monitoring solution. Validate and refine the system to improve data capture. Investigate feature engineering techniques
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motion and the viewing perspective of the observer (Nikolaidis et al, 2016). This project will develop continuous models of action legibility using these sources of information from data collected in a
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The Department of Civil and Environmental Engineering in the College of Engineering and Physical Sciences at the University
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or for multiobjective optimization problems. Implement the developed algorithms (e.g., in Python) and evaluate their practical performance on artificial and/or real-world data. Teach tutorials (in English) for