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dimensions of AI screening tools for mental health risk; from research design, research ethics submission, data collection, analysis, and outputs About You You will have or to be close to completion of PhD
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requirements, financial risks, and opportunities for improved operational performance. Lead the financial analysis and forecasting associated with the projections of the operational activities of the department
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Job Description Finance, Planning and Budgeting (FPB) has an outstanding opportunity for a Compliance Analyst to join Management Accounting & Analysis (MAA) team. About this Opportunity Reporting
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Structural/Finite Element Analysis for Maritime Drone Operations
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will develop innovative methods used to detect emerging pathogens earlier, understand who is most at risk, and translate the complex multi-source data into real-time, evidence-based decisions and
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/Engineer 1 with the Latimer Laboratory engages in neuroscience. Specifically, this role is involved in the characterization and analysis of cell and animal models of neurodegenerative disease, and the
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empirical research study to support the investigation of social and ethical dimensions of AI screening tools for mental health risk; from research design, research ethics submission, data collection, analysis
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will be expected to work regularly on campus at Heriot-Watt University. Fully remote working is not available. Key Duties and Responsibilities Research & Analysis Undertake whole-systems, value-chain and
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. Sitting within the Market Intelligence & Strategy team, this role combines advanced quantitative analysis, statistical modelling and business intelligence to uncover trends, identify risks and support
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 24 days ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and