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of hands-on experience in neuroimaging research, particularly in MRI/EEG/fNIRS data acquisition, postprocessing and analysis Proven expertise in MRI postprocessing pipelines, experience with other modalities
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that address different pedagogical needs across academic disciplines and teaching modalities. Drives the integration of evidence-based instructional practices to enhance teaching effectiveness, foster academic
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and citizens to inform current and future needs of the population Deliver an evidence synthesis and gap analysis on existing evidence relation to the health needs of the population Create a data-lake of
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preparation for analysis in line with best practices, including contributing to the programme’s data management and archiving plans. Lead or contribute to the write-up of research findings for publication in
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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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environmental impact. The researcher must have prior experience at least in one of the following research fields: proteomics, glycan analysis, or nanotechnology, and be able to work at the interface of synthetic
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(hired later) will work with a team on this proposal, which has 4 main aims: - To conduct network meta-analysis to estimate the most clinically-effective interventions, including antidepressants
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of inter-sectoral stakeholders, experts and citizens to inform current and future needs of the population Deliver an evidence synthesis and gap analysis on existing evidence relation to the health
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analysis and inversion of gravity gradient data from quantum technology sensors Develop data interfaces to enable integration with multi-modal sensing platforms Apply advanced data inference techniques
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related