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the analysis and optimization of machine components and component systems based on performance, service life, energy efficiency, reliability, and environmental impact. Particular emphasis is placed on issues in
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identification, optimization, or numerical methods is valuable, as is knowledge of data analysis and machine learning for complex, high-dimensional systems. Programming experience in MATLAB or Python, and an
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of artificial intelligence (AI)-based spectral monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we
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, optimizing, and deploying AI models on HPC and GPU-based systems. Provide guidance on performance optimization, scaling, and efficient resource utilization. Contribute to architectural and design decisions in
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programming, one in optimization, and one in machine learning at least one advanced-level course in stochastic processes, or in related subjects such as time series analysis, spatial statistics, spectral
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engineering, including performance and conceptual design Experience in energy systems modelling and mathematical optimization Programming skills in, for example, Matlab, Python, C++, Fortran, or equivalent
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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Histological techniques, such as in situ hybridization and immunohistochemistry Confocal microscopy High-throughput screening approaches Development or optimization of molecular and experimental methods
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Giacomello. Examples of tasks: Design, perform, and optimize experimental workflows for ST, SmT and single-cell multiomics Prepare and process animal and plant tissue samples for spatial and sequencing-based
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at KTH Royal Institute of Technology is seeking a highly motivated doctoral student with a strong background and interest in spatial AI, navigation, sensor fusion, optimal estimation, and machine learning