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data to calculate displacement Coding skills in Matlab/Python for processing/analysing data measured in the field Experience with working with public bodies to get access to historic bridge data
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practices in code development and maintenance (e.g. Github/Gitlab, GitHub Actions, etc). Experience with machine learning or network-based approaches is desirable. Familiarity with FAIR data principles and
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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ongoing development of communication updates for web, social media and networking Promote equality and value diversity, acting as a role model and fostering an inclusive working culture Support the work
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practices in code development and maintenance (e.g. Github/Gitlab, GitHub Actions, etc). Experience with machine learning or network-based approaches is desirable. Familiarity with FAIR data principles and
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inflammatory bowel disease (IBD) which is located on chromosome 5. The associated locus lies within an uncharacterised long non-coding (lnc)RNA and exhibits strong activation-dependent enhancer activity in
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc. Have a proposal which is
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, publications, conference presentations, code etc. Have a proposal which is within the AI in Science research remit. Fellows will join the Eric and Wendy Schmidt Network of researchers and will join a unique co