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definitions best predict adverse perinatal outcomes and help distinguish normal variation from true growth restriction. The PhD could consist of three suggested papers: 1. An assessment of gestational age data
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laboratory processing of root data Assist in ongoing field sampling campaigns Conduct basic data analysis Collaborate with PhD researchers from the modelling and experimental teams to link data and model
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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& Find Out More : To apply for this fully funded PhD Studentship or for more information, follow this link: https://www.exeter.ac.uk/study/funding/award/?id=5840 Application Deadline: 19 APRIL 2026 @ 23.59
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: Conduct laboratory processing of water extraction Assist in ongoing field sampling campaigns Conduct basic data analysis Experiments using biological markers and isotopic methods Collaborate with PhD
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and future experimental facilities. Responsibilities The PhD student will: participation in the scientific activities of the CTU STAR/ePIC group, perform physics analysis of data from the STAR
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
12th April 2026 Languages English English English We have a vacancy for a PhD Candidate within Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
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outcomes of therapy. The lab is looking for candidates for the following two stipends: • Stipend 1: Computer Vision-Based Analysis of Humans. This PhD candidate will focus on developing new AI/computer
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R260053 Posting Link https://www.ubjobs.buffalo.edu/postings/61569 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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). Demonstrable familiarity with technology translation,commercialisation of research, or similar entrepreneurial activity. Experience in method development, validation, and quantitative data analysis. Experience