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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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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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Internal Number: 361386 Summary: NIH- funded position to study the effects of mutations in the assembly of the PKA-R subunit complexes. The overarching goal of the project is to determine the effects of
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into commercial R&D, and participate in government and industry working groups. Impact and Career Development This project aligns with EPSRC and University strategic priorities in energy, decarbonisation, and AI
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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of the position. Equivalent research experience will also be considered. You should have familiarity in handling large and complex datasets and skilled in programming languages such as R or Python. The ideal
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also undertake industrial placement and mentorship at BTS, where they will interact with practitioners, gain insights into commercial R&D, and participate in government and industry working groups
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-months during the whole period) at Port Sunlight, supervised by Steph Edwards and Andy Peers, during which time they will be able to access world-leading facilities across the Port Sunlight R&D and
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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perception, decentralization and mission execution. The RAI team has a strong European participation in multiple R&D&I projects, while RAI was also participating in the DARPA SUB-T challenge with the CoSTAR