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collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent ability in analysing data, problem
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programming language (or experience in an analogous software platform and willingness to learn R) Experience in applying advanced statistical methods (e.g., linear mixed effects modeling, factor analysis
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machine learning applied to mental health, strong communication skills, mentoring experience, and collaborative abilities. You will also have: A PhD. in Computer Science, Data Science, Mathematics
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to the incumbent’s professional development, and to the research and learning environment of the School of Social and Political Sciences. Who We Are Looking For Our ideal candidate will have a PhD qualification in
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in early childhood learning or child development, coupled with excellent interpersonal skills, flexibility, and strong analytical abilities. Proficiency in communication, organization, and computer
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computational code for mathematical models of biological systems using Python, R or C++ Experience using the statistical programming language R, or familiarity with similar languages and an ability to learn R
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advance a research agenda focused on primary school mental health and well-being, under the direct supervision of Associate Professor Jon Quach and Dr Georgia Dawson. You will be based within the Learning
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, which enriches and nurtures authentic two-way learning and understanding, cultural integrity and capacity of students, graduates and staff. What We Offer You! In addition, we offer the opportunity to be
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effectively with diverse stakeholders. Your commitment to excellence, continual improvement, curiosity, enthusiasm, dedication to the research topic, humility, and a willingness to learn will contribute to a