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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and
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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
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degree in Psychology or closely-related discipline and a PhD (or near to completion) in Psychology that is relevant to the research area Experience of collecting data from children Experience with
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, with a track record of peer-reviewed publications. Strong quantitative and analytical skills, with experience in data analysis. Ability to work independently and in multidisciplinary teams, with strong
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acquisition and communication Develop and sustain relationships with key stakeholders, including data owners, government agencies, healthcare providers, funding organisations, and academic institutions in
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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