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Field
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. Advanced modeling techniques, such as surrogate modeling, machine learning, and physics-informed neural networks, will be applied to accelerate simulations and enable real-time performance. A strong emphasis
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fidelity, pore structure, and mechanical integrity to define optimal process parameters for scaffold fabrication. Task 2: Perform computational modelling and simulation studies using ANSYS Fluent to analyse
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or master’s course with substantial mathematical content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited
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24 Oct 2025 Job Information Organisation/Company Leiden University Research Field Mathematics » Applied mathematics Mathematics » Mathematical analysis Physics » Condensed matter properties Physics
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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particle simulation methods, validated by experiments, to develop a scaling method to predict continuous blending performance based on lab scale mixing performance, process parameters and physiochemical
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Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PI25043_Call
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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generating electron-positron pairs through the collision of structured laser pulses. As a PhD student, you will work at the interface of plasma physics, quantum electrodynamics, and computational modeling