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includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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degree (PhD) At least 1 original publication in a peer-reviewed journal A background in the relevant methods Complete application package submitted through the AMBER portal (including CV and detailed
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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, two researchers, and about ten PhD students. Our research focuses on aircraft propulsion and covers: System-level assessments Engine concept development Component design and optimization (e.g
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
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affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science at Lund University. Within CVML there are several PhD-level researchers as well as approximately 20 doctoral students. Research
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speaking is required. Knowledge of Swedish is meriting. The fellow is expected to work and collaborate within the Horizon JU CBE SingleTree project on the optimization of multifunctional forest-based value
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large