323 data-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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social care arena (eg: sociology; psychology; criminology; health statistics; health economics; data analytics, data science). Applicants should have experience of obtaining external funding for research
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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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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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and managing aspects of an academic lab Proven track record of research in their area of expertise on alternative proteins or closely related area Experience in analysing biological experimental data
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prioritise work independently while contributing effectively to a collaborative project team. You will understand the importance of research ethics, safeguarding and data protection in applied fieldwork
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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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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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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