177 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at King's College London
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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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teams on regulatory strategy and planning, quality system procedures, identifying gaps in project information and processes; recommending solutions, and be responsible for developing and maintaining
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enthusiasm for understanding and supporting the training and development needs of doctoral students. 5. Strong IT, numerical and analytical skills, able to adapt to new systems and draw insights from data
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-therapy. The post holder will work with single-cell transcriptomics data analysis to resolve lineage barcorded cells and reconstruct cell lineage trees and simultaneously profile gene expression. The post
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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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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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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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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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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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AI. 8. Excellent leadership, communication, and interpersonal skills. Desirable criteria 1. Familiarity with academic and administrative systems (e.g., student information systems, learning