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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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Early Years professional ready to lead, motivate, and develop a team to deliver outstanding practice? Do you thrive in a creative, dynamic environment where imagination, play, and learning go hand in hand
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immediately and is offered for 24 months at the first instance. The further extension of the post is possible subject to performance. About Green Future Fellowship programme: https://raeng.org.uk/green-future
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the curriculum online for more information: https://lancaster-online-education.ac.uk/masters/msc-cyber-security/ We are particularly looking for candidates who are passionate about cyber security
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research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging problems. Your research will have potential for real-world application in areas
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will be spent on both aspects of the role. You should have a postgraduate degree in Statistics, machine learning or a related discipline and a track record of methodological research relevant to Prob_AI
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creative, dynamic environment where imagination, play, and learning go hand in hand? Do you want a career that makes a real difference every single day? If the answer is yes, we’d love to hear from you
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Science and Cyber Security with agility to teach other areas of our undergraduate curricula. Please see the person specification below for details. To be successful you will have: A Doktor degree (PhD) in a
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creative, dynamic environment where imagination, play, and learning go hand in hand? Do you want a career that makes a real difference every single day? If the answer is yes, we’d love to hear from you