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Responsibilities: Lead the design, implementation, and validation of data-driven Digital Twin (DT) models to simulate and forecast dynamic energy demands and renewable generation patterns within shipyard operations
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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for maritime systems. By combining rigorous theoretical development with practical data-driven model validation, the fellow will contribute to innovative solutions that address critical challenges in maritime
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Dash, Tkinter, or web-based frameworks) Experience working with data-driven simulation and model validation in power grids (Ph.D level is mandatory) Ability to work independently and collaboratively in a
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral
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The lab of professor Jesper Tegnér at KAUST has openings for three postdoctoral fellowships in Data-driven Machine Learning for unbiased Discovery of Generative Models with special reference
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key cancer-fueling pathways in hormone-driven (i.e., prostate and breast) cancers. They will also assess druggability of these genes using novel inhibitory/degrader drugs in preclinical models
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of this program is to discover clinically relevant candidates that can be fast tracked for clinical development. The lab uses a combination of bioinformatics, biochemistry, animal modelling, Crispr screening and
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(Good Universities Guide 2022) and with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational