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Field
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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for researchers with deep expertise in AI/ML who are motivated to move beyond benchmark-driven modeling and into biologically grounded, experimentally validated, and translationally impactful work. Fellows will
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qualifications (required at time of application) Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics
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publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
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-related challenges in maritime transportation systems; 2) supporting the development and application of quantitative and data-driven models for assessing and predicting risks and system performance; and 3
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26 Mar 2026 Job Information Organisation/Company Łukasiewicz PORT Research Field Biological sciences » Biological engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
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management of computational workflows Strong publication record relative to career stage Strong skills in scientific analysis, interpretation of modelling results, and publication-driven research Ability
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tools such as machine learning for data-driven alloy design, integrate experimental and modelling results, contribute to publications and grant applications, and assist in supervising honours and