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activities aiming at developing soft skills and at strengthening networks and collaborations in academia and industry. Be part of a strong postdoc community. The Umeå Postdoc Society fosters networking and
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. Informal inquiries are encouraged. Applications will be reviewed continuously until the position is filled. Job Duties Our lab operates within an interdisciplinary, collaborative network at Baylor College
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popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent communication skills, enabling them to engage with the entire
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of biological brains. Spiking neural networks (SNNs) can offer increased processing speed and reduced power consumption, especially when implemented on dedicated hardware (neuromorphic chips or FPGAs). Standard
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transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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The SigCom research group at SnT, led by Prof. Symeon Chatzinotas, focuses on wireless and satellite communications for future 6G networks. Research includes security, IoT, unmanned aerial vehicles
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-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
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Republic of Korea | about 2 months ago
-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan