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Field
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for extension and/or if additional funding is secured to extend employment. Required Qualifications: Ph.D. in plant breeding, bioinformatics, quantitative/statistical/population genetics, or a related discipline
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fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field
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). Primary responsibilities include expanding bioinformatic approaches to process eDNA metabarcoding and qPCR datasets, quantifying fish prey community composition, and mapping predator-prey distributions
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Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
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bioinformatics (e.g. BLAST searchers, SNP calling, GWAS) experience in hybridising plants, pre-breeding, scoring disease responses of plant material in the greenhouse and field postdoctoral experience including
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will be responsible for applying computational and bioinformatics approaches to investigate the mechanistic triggers of VITT and identify strategies to reduce associated risks. This will include
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using bioinformatics and molecular biology methods. The candidate will be responsible for using chemical tools to develop new nanocarriers with low toxicity and high delivery efficacy, and tackle
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using bioinformatics and molecular biology methods. The candidate will be responsible for using chemical tools to develop new nanocarriers with low toxicity and high delivery efficacy, and tackle
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statistics, bioinformatics, pathology and nephrology, contributing to open-source methods, publications and translational research. Your key responsibilities will be to: develop and apply computational methods
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intelligence, and computational biology. You will be responsible for applying computational and bioinformatics approaches to investigate the mechanistic triggers of VITT and identify strategies to reduce