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Date 09/24/2026 Priority Review Date (Note - Posting may close at any time) Job Summary We are seeking a highly talented PhD Student with experience and interest in state-of-the-art AI technologies, data
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modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling
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systems can coordinate “cue” satellites by determining the optimal response: identifying which satellites should be tasked, when observations should occur, and which asset can capture the event first. This
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: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be
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, PhDs, and Engineering degrees). These programmes are available through initial training,continuing education, work-study formats, or various accreditation pathways, both on-site and via distancelearning
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications
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partners through workshops, site visits, and public briefings. Required Qualifications PhD in Aquaculture, Aquaculture Nutrition, Marine Biology, Animal Science, or a closely related field, awarded
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approaches to experimental design, data analysis, statistical testing, and data visualization. Establish, optimize, validate, and troubleshoot experimental protocols. Maintain complete and accurate