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. Additional Information Applications for this role will take the format of a CV submission and cover letter. Share Share this via Or copy the link Copy Download Job Description Print this page Back to list
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University
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, sustainability objectives and future uncertainties into a unified decision-making framework. The candidate will develop probabilistic modelling and stress-testing approaches, including Monte Carlo simulations and
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simulations to better understand the evolution of these discs and synthetic observations to compare to real observations. Possible projects include: "The evolution of dust in warped discs with different
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advanced simulation, AI-ready modelling and industrial data to accelerate pharmaceutical manufacturing and the delivery of life-saving medicines? This industrially focused project, co-supervised by
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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different scenarios; implement and validate simulation models for system analysis, scenario evaluation, and future optimization; collaborateclosely with researchers, industrial partners, and fellow PhD
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of the UDC online services site. Additional comments General required documentation: 1. Copy of national identity document or passport 2. Copy of degree certificate in Spanish or English. If obtained outside
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-resolved simulations. In case a fluidized bed is chosen, a traditional Eulerian Two-Fluid model (TFM) will be compared with a novel Lagrangian Continuous Particle Model (CPM). Initially, engineering