121 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at King's College London in United Kingdom
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. We are looking for a computer scientist with expertise in both front-end and back-end development. Specifically, the objectives of the post holder will be to develop a smartphone app to instruct
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orders and invoicing. Highly computer literate and demonstrable ability to use the Microsoft Office, including Excel, Word, SharePoint and Teams. Desirable criteria Prior experience supporting NHS/academic
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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on U.S.-China relations, BA module on contemporary strategy in East Asia, and MA module on East Asian security. They will also be expected to contribute to leadership in teaching through module convening
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demonstrable ability to learn relevant technologies 5. Logical and methodical approach to problem solving and technical troubleshooting 6. Strong customer service ethos (able to cater for technical
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as trainers and observers in the GMP cleanrooms. The post holder will learn a wide range of molecular and cell biology skills such as cell culture, transfections, QPCR, flow cytometry etc. They will
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, and human-centred computing. You will join the Vision & Human-Robot Interaction (VHR) Lab, a multidisciplinary research group working at the intersection of robotics, machine learning, and human
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skills 3. Computer literacy including word processing, spreadsheets, databases and internet use 4. Evidence of significant understanding of technology transfer in an academic environment 5
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. Excellent written and spoken English 2. Computer literate and able to use standard Events software 3. Excellent organization and planning skills 4. Ability to prioritise workloads as
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are caused and how people respond to treatments. We will investigate blood and cerebrospinal fluid from patients and use machine-learning to identify the treatment-relevant immune processes, with an emphasis