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Field
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translating these into field-deployable species identification protocols using qPCR and long-read sequencing technologies. You will also support method validation and standardisation across diverse fishing and
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intelligence, RF engineering, and spectrum sensing, with a core focus on AI-based spectrum monitoring for anomaly detection and identification. Your primary responsibilities include developing and evaluating
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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Submit grant applications to support new avenues of research QUALIFICATIONS Ph.D. in Marine Science or related field Experience with phytoplankton identification, preferably including marine taxa
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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building materials using polyphasic detection and identification approaches. Characterization of biobased building materials with respect to their moisture sorption isotherms. Modelling the correlation
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to develop and enhance our research profile. 5. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies
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, and identification of possible new areas of research, and potential funders. Skills, Experience & Qualifications needed Undergraduate degree and PhD (awarded or submitted) in environmental social
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, and identification of possible new areas of research. Skills, Experience & Qualifications needed Undergraduate degree and PhD (awarded or submitted) in an appropriate subject area or equivalent
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presentations, and through outreach activities. Facilitate Centre objectives through development of ongoing interdisciplinary research, and identification of possible new areas of research. Skills, Experience