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Field
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well as dissimilar combinations has taken shape with the aid of numerous funded projects implemented in close co-operation with industries. However, there has been very limited previous work globally addressing
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; numerical analysis; programming; optimization; stochastic analysis; systems theory. What you will do You are expected to develop your own ideas and communicate scientific results orally as well as in written
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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Helical-AI on scaling, optimization, and integration of the developed models within an HPC-enabled industrial pipeline Publish research results in leading international conferences and journals in machine
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Engineering, and related fields, with a view to develop and optimize 3D bioprinted models, cell selection and expansion for bone models, biological and mechanical characterization of bioprinted tissues
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, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
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a grant from the Swiss National Science Foundation entitled Machine Learning for Optimized Ab-initio Quantum Transport Simulations (MALOQ). It officially started on January 1st 2026 and will
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completed at the deadline for applications, including those resulting from academic degree recognition processes. Preferential Requirements: Proven experience in numerical simulation, namely CFD applied
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experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty