406 data-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in United Kingdom
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Please open the attached 'Job Description' document below to view the full information for this post, including the responsibilities of the role and a more detailed insight into the work of the Future
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alignment, control software and data analysis. You will be an excellent communicator capable of working effectively both independently and as part of a research team. You will be approachable and
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methods. It may also include quantitative data analysis. The post-holder will take a role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and
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and synthesis of small molecules and/or compound libraries. Experience in analytical techniques, such as NMR, HPLC and LC-MS. Experience in compound data analysis. Experience in lab project supervision
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important structure–activity relationship (SAR) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies
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experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected to contribute to the wider
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the mobility requirements of the MSCA scheme. Further information can be found here . Please be aware that the University of Hull supports applications for the MSCA European Postdoctoral Fellowships only. Key
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
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cover letter for your application that includes your name, your field of research, and information about your current position. CV: Please provide a full CV (curriculum vitae) and append a separate list
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal