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of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
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be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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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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postdoctoral fellows in connected schools. As such, interdisciplinary work is welcomed, and candidates from all relevant areas of the Middle East studies are encouraged to apply.
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an important role in the project working collaboratively with the PI and a postdoctoral researcher, and there will be excellent training and travel opportunities. The candidate will also have opportunities
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the School of History, to postgraduates and postdoctoral fellows in connected schools. As such, interdisciplinary work is welcomed, and candidates from all relevant areas of the Middle East studies