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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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identify the optimal neurons for therapeutical stimulation leading to alleviation of non-motor symptoms, such as depression. Tasks and responsibilities As a Postdoctoral Fellow in the field of molecular
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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
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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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to optimize antenna performance. For more information, https://ant.eecs.kth.se/SEE-6GIA/ (SEE-6GIA) Contact person: Mats Gustafsson Research direction 2 This project develops a distributed radar system
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landscape, the focus of this position is on process design, system integration, and optimization of performance. Teaching at first, second and third cycle level is a central part of the department's mission
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and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
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driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
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and verification of computation technology for model-based analysis and optimization of process systems, in this case systems for managing stormwater in extreme situations. The work is carried out in
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SLAMF6, to understand the mechanisms behind their influence on T-cell activation. This research is relevant to optimizing the utilization of these receptors in cancer therapy. The project is highly