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://www.chalmers.se/math/ At the division of Applied Mathematics and Statistics we conduct research within probability theory and its applications, the theory and implementation of finite element methods, inverse wave
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superconducting circuits. A part of the project is addressing specific challenges related to this goal. One such challenge is to efficiently read out quantum information from qubits. To achieve this, a first-stage
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initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
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models at boundary value level Experience in programming Meritious Experience in constitutive modelling of soils, including model formulation and implementation at element level Experience in numerical
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, simulation, and integration of complex energy-digital systems in the context of smart ports. As part of the prestigious Marie Skłodowska-Curie Doctoral NetworkPorts as Energy Transition Hubs (POTENT
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these systems operate in, ACPS increasingly rely on data-driven learning-enabled components to perform a variety of challenging decision-making tasks. While indispensable for autonomy, learning-enabled components