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details Prof Jon Goss , School of Mathematics, Statistics and Physics [email protected]
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to applicants with experience in one or more of the following: machine listening, deep learning, acoustics, signal processing, computer vision, spatial audio, NLP, statistical analysis, software development
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. Interdisciplinary focus This PhD project will take a critical ecological approach to assess how conservation decision making influences social outcomes. Supported by supervisors specialising in statistical ecology
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, publishing journal articles, conference presentations) Experience of using statistical and/or analytical software packages (e.g., SPSS, R, Tableau, Power BI, etc). How to apply Interested applicants should
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and progamming skills; Knowledge of Python.; Knowledge of Bayesian statistics, machine learning, and optimisation, or a willingness to learn. This scholarship is open to candidates of any nationality
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costs of their project. We will support two students, one in the area of health data science/epidemiology/statistics and the other specialising in applied machine learning and informatics. The closing
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Likert-scale statements and open-ended questions. Responses will be statistically analysed with qualitative data subjected to content analysis. Output 2: Paper presenting findings of the survey. Interviews
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, good clinical practice, medical statistics, time management, paper writing). Literature research Manuscript writing for submission to peer-reviewed journals) Attend weekly research meetings Other
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migrants in Wales, without Welsh or English as a first language. The research will incorporate a mixed-methods approach. This may include a quantitative approach (i.e. statistical data analysis) and a
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health (3) Support and training The doctoral student will be supported by a team with expertise in plant biology, soil health, next generation sequencing and statistics and they will work within an active