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Field
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function as a coherent programme rather than as parallel projects. Day to day, you will chair consortium meetings, facilitate the weekly, biweekly and monthly catch-up meetings between all cohorts
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join our TU Delft team to contribute
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communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics
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positions, we offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the CU School of Medicine. Why work for the University? We have AMAZING benefits and offer exceptional
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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software on HPC systems. Familiarity with performance analysis and compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with
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of the Information Age - One high bandwidth fiber optic cable can replace thousands of electrical links to transmit the same amount of information. As a parallel to the thriving fields of soft devices and robots
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for SciLifeLab’s technology platforms and other SciLifeLab-organised programmes and activities, including the national Data-Driven Life Science (DDLS) programme. We have a national mission and develop services
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events. The distribution of duties may be adjusted according to the candidate’s qualifications and the scientific development of the project. Required selection criteria A completed PhD in synthetic