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campuses in Roskilde and Ballerup. References [Heuck2023] Heuck, M., Englund, D. R. & Jacobs, K. Efficient, high-speed two-photon logic gates at room temperature for general-purpose quantum information
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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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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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R; Familiar with socio-ecological systems; Interested in collaboration with stakeholders; Motivated to work in an interdisciplinary team; A proactive, inquisitive, enthusiastic, creative and self
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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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experience working with cohort data or electronic health records is an asset; Interest in digital health and diabetes research; Proficiency in R and/or Python; Excellent writing and communication skills in
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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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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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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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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