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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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microbial genetics and sequencing High level analytical capability Ability to communicate complex information clearly Ability to contribute to developing new protocols and techniques Ability to assess
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or similar qualitative data analysis software (desirable) Competence in using Microsoft Office and Outlook Ability to communicate complex information clearly and effectively High-level analytical and problem
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concept to pre-clinical proof-of-concept. For more information on Dr. Badie’s lab please visit here . As a successful candidate you will: · Design ASOs, siRNAs, or aptamers that include chemical
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recognised and encompasses a broad range of Earth Science disciplines (geoscience, hydrogeology, geodata analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental
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of secondary particles, including atmospheric nano-particles. The successful candidate will work with Professors Zongbo Shi and other team members to analyse aerosol and gas mass spectroscopic data, carry out
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
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language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI reserach, including multi-modal LLMs. Background in AI
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analytics, oceanography, and in Coastal and Ocean Engineering (hydrodynamics, geotechnics). Fundamental and applied research is strongly tied to terrestrial and marine environments and resources, and
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immune responses Substantial experience in using flow cytometry to analyse in vivo immune responses High level analytical capability Ability to communicate complex information clearly Ability to contribute