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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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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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successfully in a biochemical laboratory High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute
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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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relevant to research area or equivalent qualifications/experience High level analytical capability Ability to communicate complex information clearly Essential criteria: Demonstrated research experience with
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according to established protocols Operating analytical equipment, such as HPLC, LC-MS/MS, etc Presenting research progress through oral presentations and publications. Required Education B.S. in a relevant
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analysis; Ingesting structured and unstructured data sets into GCP, building and maintaining data processing pipelines, and delivering improvements to product code and documentation to increase analytic
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data visualisation methods; training in the application of LLM-based analytical methods for both text and image). Experience, expertise and demonstrated success in delivering complex research projects
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data