225 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at King's College London
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development including CSS, JavaScript 5. Experience developing and supporting Tribal SITS eVision systems, using SRL and tasking 6. Good understanding of data and integration technologies (SQL
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“Data-driven design of organic mixed conductors”. Mixed ionic/electronic conducting materials are being developed for applications in bioelectronics, biosensing, energy storage and neuromorphic computing
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found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. At King’s, we
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of clinical data and bio samples (blood and cerebrospinal fluid) from patients. The main focus is on an exciting new prospective, longitudinal study aiming to assess the immunological effects of antipsychotic
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the highest standards in research and education. King's is the fourth oldest university in England, with more than 33,000 students from over 190 countries. Background information about the university including
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complex problems with little supervision Excellent written and verbal communication, including the ability to break complex information down for a range of audiences A good understanding of the widening
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to appoint a highly motivated and experienced postdoctoral research associate in computational materials chemistry. The position is funded by the EPSRC project “Data-driven design of organic mixed conductors
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for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Neuroscience
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Project teams. Stakeholder Engagement and Communication: Serve as a liaison between stakeholders and management, ensuring timely updates and information sharing. Identify needs and expectations to improve
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AI. 8. Excellent leadership, communication, and interpersonal skills. Desirable criteria 1. Familiarity with academic and administrative systems (e.g., student information systems, learning