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machine learning models. Working with extremely large, multi-modal datasets. Prior experience in analysis of clinical health records, and time series data are highly preferred. Qualifications Requirements
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morphodynamics of geologically controlled coastal barriers, including expertise in analysis of satellite imagery and implementation of XBeach model to mixed sand and rocky coastal systems. Preferential factors
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resource on advanced therapeutic exercise programs and modalities. Other duties as assigned, including professional development. Required Qualifications Computer skills in programs relevant to job duties
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that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed
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modalities Experience with signal enhancement, machine learning, or data-driven imaging analysis Track record of publications in high-impact scientific journals, conferences or patents. Experience contributing
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interdisciplinary research group focused on integrated approaches to geospatial systems analysis. We apply a complex adaptive systems approach that explicitly emphasizes behavioural models of human action-taking and
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innovative approaches and multi-modal learning resources, including digital and multimedia content. The position involves facilitating engaging capability building programs delivered both online and in person
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optimisation across modalities and throughout the process. We will realise three prototypes for (i) protein aggregation (safety), (ii) protein refolding (therapeutic activity), and (iii) culture medium
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.) and computational expertise for advanced data analysis (machine learning, etc.). Faculty are expected to develop their own program of research (including seeking extramural funding), actively
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge