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Field
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mutations in the Survival Motor Neuron 1 (SMN1) gene, resulting in reduced levels of SMN protein. Because patients lack a functional copy of SMN1, SMN protein production relies on the SMN2 gene, which
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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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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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multiscale characterization of materials for soft robotics applications and has application in all three endoscopic areas. The goal of the PhD is to computationally design using a simulation-guided approach
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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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, 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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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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systems [9], and modeled the corresponding kinetics under simulated conditions [10], without elucidating reaction pathways. Access to measurements is indeed particularly difficult: i) short drying time (≈ 4
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research ideas connected to the position. A copy of the degree certificate / diploma and a transcript of academic records proving the applicant’s eligibility to pursue postgraduate studies. The documents
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first