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. The successful candidate will work with Prof Meghan Gray and Prof Frazer Pearce and members of the Nottingham Astronomy Group. They will also be expected to interact with international collaborators as part of
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methods will include training with data from Africa not normally available for routine forecasting, and we will explore the value of local optimisation or fine-tuning of foundation codes. Handling spatio
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further waves are planned for 2026 and 2028. As an Associate Research Fellow, you will: Support survey instrument design, testing and implementation Undertake data collection, cleaning, coding and analysis
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? If you’re a HCI researcher, ready and keen to take on these kinds of complex challenges towards real-world impact, we encourage you to apply. If you have any questions, please contact prof m.c. schraefel
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the Natsal research team, and in particular Lead Data Analyst (Dr Elise Paul), as well as co-PI (Pam Sonnenberg), the Academic Director (Soazig Clifton), bio sample lead (Prof Nigel Field), and data linkage
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interdisciplinary, international project with partners in Norway, Austria and the USA. The successful candidate will work in the group of the project leader, Prof. Mathias Ziegler, at the Department of Biomedicine
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of foundation codes. Handling spatio-temporal statistics of forecast uncertainty will be a key consideration. This kind of downscaling with machine-learning methods is a rapidly advancing field and it is an
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months, in the first instance. Application Process If you would like to discuss this role please contact Prof Regent Lee at regent.lee@nds.ox.ac.uk Applications for this vacancy are to be made online. You
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, please contact A/Prof Alain Wuethrich via email to a.wuethrich@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job reference number
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. Applicants are invited to contact Prof. Carman K. M. Lee at telephone number 3400 3899 or via email at ckm.lee@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly