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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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the School of Computer Science) will contribute his expertise in artificial intelligence, while Prof. Lorrie Cranor (Director and Bosch Distinguished Professor in Security and Privacy Technologies of the CyLab
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree related to ALICE or ATLAS. Experience from working with
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in computer science, statistics, mathematics, data science, or related fields. Doctoral dissertation must be
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and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider
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condition of employment that the master's degree has been awarded. Computer programming experience using languages such as for example Python or C++ is a requirement. It is an advantage with a master’s degree
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including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your
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information about this position in advance of submitting your application. Equality, diversity and inclusion are central to the ethos in the School of Engineering. We give full consideration to applicants who