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This funded position covers Home / EU tuition fees and a stipend at standard UKRI rates.
Ideal candidates will have a strong background in ecology with additional experience in data science including statistical analysis and programming (python preferred); or a strong background in computer science with additional experience in ecology. Eligible candidates will have recently received an MSc and/or a First or high 2:1 BSc in a relevant subject. Candidates for whom English is not their first language will require an IELTS score of 6.5 overall, with not less than 6.0 in any section.
Brotherton S, Joyce CB & Scharlemann JPW (in press) Global offtake of wild animals from wetlands: critical issues for fish and birds. Hydrobiologia
Ingram DJ, Coad L, Abernethy KA, Maisels F, Stokes EJ, Bobo KS, Breuer T, Gandiwa E, Ghiurghi A, Greengrass E, Holmern T, Kamgaing TOW, Ndong Obiang A-M, Poulsen JR, Schleicher J, Nielsen MR, Solly H, Vath CL, Waltert M, Whitham CEL, Wilkie DS, Scharlemann JPW (2018) Assessing Africa-wide pangolin exploitation by scaling local data. Conservation Letters 11: e12389.
Ingram DJ, Coad LM, Collen B, Kümpel NF, Breuer T, Fa J, Gill D, Maisels F, Schleicher J, Stokes EJ, Taylor G & Scharlemann JPW (2015) Indicators for wild animal offtake: methods and case study for African mammals and birds. Ecology & Society 20(3): 40. DOI: 10.5751/ES-07823-200340.
Taylor GL, Scharlemann JPW, Rowcliffe M, Kümpel N, Harfoot M, Fa J, Melisch R, Milner-Gulland EJ, Bhagwat S, Abernethy K, Albrechtsen L, Allebone-Webb S, Brown E, Brugiere D, Colell M, Cowlishaw G, Crookes D, De Merode E, Dupain J, East T, Edderai D, Gill D, Greengrass E, Hodgkinson C, Ilambu O, Jeanmart P, Juste J, Linder J, MacDonald D, Noss A, Okorie PU, Okouyi V, Pailler S, Poulsen J, Riddell M, Schulte-Herbruggen B, Starkey M, Schleicher J, van Vliet N, Whitham C, Willcox A, Wright J & Coad LM (2015) Synthesising bushmeat research effort in West and Central Africa: a new regional database. Biological Conservation 181: 199-205.
Wang D, Weeds J & Comley I (2020) Improving Mental Health using Machine Learning to Assist Humans in the Moderation of Forum Posts. In Proceedings of the 13th International Conference on Health Informatics (HealthInf) Valletta, February 2020
Schmidt L, Weeds J & Higgins J (2020) Data Mining in Clinical Text: Transformers for Classification and Question Answering Tasks. In Proceedings of the 13th International Conference on Health Informatics (HealthInf) Valletta, February 2020
FTE Category A staff submitted: 47.61
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