1,837 data-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" Fellowship positions
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer
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pro-rata for different periods. Application Papers You will find all application forms and further information on the application procedure here . Application Deadline Applicable deadlines will be
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Department of Data Science and Artificial Intelligence Postdoctoral Fellow (Ref. 260116015) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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techniques such as CRISPR/Cas9 gene editing, flow cytometry, RNA sequencing, and imaging technologies. Analyze and interpret experimental data using bioinformatics/statistical tools where appropriate
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experience including qualitative data collection, policy analysis, and fieldwork Track record of high-quality research outputs and potential for research leadership Strong understanding of critical approaches
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experience at the time of application. Applicants are invited to contact Prof. Qing Li at telephone number 2766 7252 or via email at qing-prof.li@polyu.edu.hk for further information. Conditions of Service A
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kam.kh.ng@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 23 February 2026. Apply Now Posting date
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will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information please contact Professor Dave
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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data