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language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance, financial networks, e-democracy, voting, social
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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metrics and usage statistics, identify inefficiencies on different levels (CPU/GPU, I/O patterns, etc.) and provide corresponding reports. You will work closely with researchers and HPC users and provide
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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before 1800. Candidates are conversant with current historiographical developments and have developed strong methodological skills in dealing with different source corpora of African history. We expect
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natural language processing to algorithmically detect hate speech across a variety of online venues (newspaper and social media). To do so, we need an up-to-date, high-quality corpus of training data. Job
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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participation in seven network-wide events as well as secondments and collaborations, which entail travel to several different EU countries. YOUR MAIN RESPONSIBILITIES In the framework of the FADOS project, we
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scientific questions or develop algorithms that perform automatically some challenging tasks. This typically involves exchanging actively with collaborators and domain experts to understand the precise
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systems. Your work will help to define the quality and features of our algorithms. Armed with your innovative spirit and project experience, you will manifest fresh ideas and novel approaches