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Clinical Research Fellow (BRC Arthritis) - Department of Inflammation and Ageing - 100873 - Clinical
laboratory technicians, post-doctoral scientists and trial co-ordinators to establish and undertake laboratory research to support the BRC-related projects and the RRG. To discuss research data and devise
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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* The candidate will: Benchmark/validate/adapt radiation dosimetry algorithms developed at Michigan and by industry collaborators. Develop code for data analysis. Perform patient specific dosimetry calculations and
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Dr Dhamidhu Eratne 2020 Dr Sarah Farrand 2018 Dr Myles Gutkin 2016 Dr Samantha Loi 2015 Dr Samuel Lieblich The information listed here is subject to change without notice. Where we have listed
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- “The influence of maritime industry activities on residents’ maritime culture awareness in the Greater Bay Area: A large language model (LLM) approach with panel data analysis”. Qualifications Applicants should
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scientific information in clear, concise, and accurate language that can be understood by scientific audiences and the general public would be an advantage. We would especially be keen to hear from candidates
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and contact information for two references Unofficial graduate transcript (Optional) Research statement outlining past work and future directions relevant to the project Additional Information: Review
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 hour ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit Software
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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of this element. You will have completed a PhD in Biology or a closely related subject. To be successful in this role you will have excellent communication skills and written English, strong quantitative and data