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We are looking for a project assistant to support research in the areas of vehicle-to-grid (V2G), local energy markets, and energy optimization. The position involves both analytical work and
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
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/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
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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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. Read more on the university’s website:Work at Lund University. Work Duties and Responsibilities You will provide laboratory support within an externally funded research project aiming to optimize
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distributed MIMO-systems for demanding applications, applicable beyond the XR-application in focus, where high-level models of semiconductor sub-systems is used to optimize an entire system. From a theoretical
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methods can be adapted for complex, real-world conditions, including noise and interference, - How such methods can be optimized for resource-constrained IoT edge devices, - And what role
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of Electrical Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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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