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-of-the-art practical algorithms for real-world problems. This creates a very special environment, where we do not only conduct in-depth research on different theoretical and applied topics, but where different
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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to be fast in practice, but the framework of worst-case analysis is unable to explain this observation. Different analysis frameworks have been proposed to explain the good performance of the algorithm
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. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
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: Implement and setup an algorithm to specify grasp poses for different parts with a specific robotic hand (position, orientation, approach vector, pre-grasp offset), contact constraints, force/torque limits
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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looking for researchers who can help design state-of-the-art swarm hardware for city deployments, cognition using edge-AI and perception, swarm algorithms for city-scale coordination, and interfaces
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the next era of the quantum revolution. Together, we research, develop, and design innovative quantum algorithms that push the boundaries of what is possible- especially in the natural sciences such as
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coupling, applications, and development of regional ocean models. Capitalising and contributing to this effort, this project will Investigate effective downscaling strategies for different regional ocean
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laboratory facilities. More specifically TEC-EF responsibilities encompass at subsystem and instrument level: Payloads with RF interface exploiting different technologies (e.g., analogue, digital, optical