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-driven development and optimization of the loading and transport systems in underground mines, including adaptation of systems to different loading conditions as well as bucket scanning, bucket filling
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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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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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KAU whose mission is to optimize the circularity of bioeconomy); contribute to teaching and education in degree programs and to develop your own pedagogical competence; contribute to the ongoing
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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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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public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
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computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address
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to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
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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