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chair (F Schwenninger) within the cluster “Mathematical Analysis, Geometry, Numerics and Systems” (MAGNUS) of the Department of Applied Mathematics. The project “Optimal Constants as Analytic Benchmarks
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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for energy saving purpose. The role will focus on geometric representation, multi-physics numerical simulations, machine learning and manufacturability constrained design optimization given metal additive
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dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
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, because the patient becomes a source of ionizing radiation during surgery, this technique raises important radioprotection concerns that must be addressed in optimizing the clinical protocol. Monte Carlo
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is actively involved in numerous projects. Candidates are expected to demonstrate a strong track record in developing and applying advanced computational methods to optimize the performance
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, you will contribute to impactful research in optimization. About us The department of Mathematical Sciences has about 200 employees and is the largest department of mathematics in Sweden
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numerical analyses and material characterization), laboratory testing and data analysis towards validation and upscaling, as well as system-level investigations towards commercialization. The latter
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approaches are required to analyze the ever-growing amount of data. This requires coupling up-to-date data analysis libraries with the existing highly optimized numerical simulation codes. The PDI Data
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chaos indicators for optimization of nonlinear dynamic systems and application in accelerator design and operation. The appointment will be for 3 years. Essential Duties and Responsibilities: Work on a