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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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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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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
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systems. Our work spans the full development cycle, from quantum device design and nanofabrication to low-temperature characterization and quantum measurements. You will join the Quantum Computing Group
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well-equipped laboratory facilities for research and a good inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which
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performance thanks to the competent and dedicated staff, high-performance optics, experiment setup instrumentation, control system and computing resources. The emphasis at MicroMAX is on serial crystallography
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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and optimize robotic software systems using Python and C++. Create and manage simulation environments tailored to specific robotic applications. Work with ROS (Robot Operating System) for robot control
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research in advanced computing solutions for 6G wireless networks. This includes the development, integration, and optimization of Kubernetes for specialized hardware platforms. You will actively engage in
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computational methods for design, dimensioning, sensitivity, robustness, optimization, automation, feedback control, etc. Development of process engineering applications that demonstrate model-based methods but