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(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
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students by the autumn, in addition to three faculty and two postdocs. Our group's research spans various facets of complexity theory, encompassing both combinatorial and logical perspectives. Key areas
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kind in Sweden and, together with MemLab – the industrial membrane process research and development centre – offers excellent infrastructure for developing and optimizing membrane processes from lab
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unwanted effects from so-called concomitant gradient fields. You will also develop software to facilitate experimental design. This includes numerical optimization of the instructions that control the MRI
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driven analysis of electron density to reduce the computational costs of multiconfigurational calculations. Design and implement optimization procedure for model potentials and atomic basis sets
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optimization of imaging parameters. Overall, this project aims to explore, develop and integrate advanced imaging modalities towards their use for biological samples. Work tasks The main task of the position is
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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quantification and robustness analysis in high-dimensional and noisy data. The models will be complemented with rigorous theoretical analysis and optimization methods, where tools from spectral graph theory
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activities. You will also be located a minimum of 20% in the food industry, with placement at the company Lantmännen. Detailed description of the work duties, such as: Optimization of wholegrain content in
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polynomial equations, and optimization. In this project, we will also explore new methods for 3D modeling and sensor position estimation that operate directly on sensor data. Here, we will also use new so