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the School of Genetics and Microbiology, Trinity College Dublin, predominantly in the Discipline of Genetics. The role will involve teaching at undergraduate level for the biological streams, and where
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multidisciplinary collaborative project involving partners at Maynooth University and St James’s Hospital Dublin. The primary objective of the project is to determine the genetic basis of antifungal drug resistance
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networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models
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evolutionary biology (including ecological genetics), have some knowledge of entomology/honeybee biology, and be able to contribute to basic botany or environmental science material. The postholder will be based
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evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
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FutureNeuro Centre, Ireland’s SFI Research Centre for Translational Brain Science. FutureNeuro brings together 33 investigator teams across neuroscience, genetics, drug discovery, and data science, with a
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risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
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, diversity and systematics, entomology, and chemical ecology, genomics, applied environmental genetics and chemical ecology. Previous teaching experience in at least one of these areas is desirable. Post
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ground processes, nature-based solutions and plant-human interactions, plant taxonomy, diversity and systematics, entomology, and chemical ecology, genomics, applied environmental genetics and chemical