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of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tokerstin.achtruth@tu-dresden.de orto: TU Dresden, Chair of Algorithmic and
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at the intersection of theoretical physics, quantum information science, and computer science. The successful candidate will drive an ambitious research agenda in quantum algorithms, quantum simulation, quantum
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to ensure alignment with donor plan. Responsible for comprehensive understanding of HLA donor search algorithms and other non-HLA factors, such as ABO, age and CMV status. Analyze donor searches and apply
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processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with
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, machine learning algorithms, and experimental condition-monitoring systems (accelerometers, acoustic emission sensors). WHAT WE ARE LOOKING FOR You have a strong interest in scientific and/or project-based
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mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
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graduate students, etc. In particular, the MLE hired for this position will work with Ayan Paul and Hyunju Kim at EAI and is expected to develop AI algorithms for drug synergies with a combination of public
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 16 days ago
to learning algorithms and targeted applications the integration of various elements enabling data collection and deployment on humanoid robots We are looking for experienced engineers (2+ years) who will be
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to technical development for mobile and web-based applications, including front-end and back-end support, user-centered app design, implementation of key app features, and integration of algorithms and machine
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decentralized machine learning in 6G networks, and design machine-learning algorithms that can handle the network imperfections that remain impractical to resolve at the physical layer. The focus of the research