222 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at King's College London in United Kingdom
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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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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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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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“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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to ensure data collection and analysis is conducted within timelines. The successful applicant must be able to work independently and collaboratively within a diverse broader research team. The project will
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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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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