21 distributed-algorithms-"Meta" PhD positions at Delft University of Technology (TU Delft) in Netherlands
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
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researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
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Description Want to rethink the future of software engineering at scale? Join researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative
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Description Want to rethink the future of software engineering at scale? Join researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative
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to the research; Good understanding of computer architecture; Basic understanding of MRI algorithms is a plus; Understanding of AI and its practical implementations; The ability to work in a team and take
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, enabling energy-efficient, quiet, and long-duration monitoring of ecosystems. The research will integrate novel lightweight perception modalities for robust perching in the wild, agile control algorithms
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skills and motivation to implement algorithms and test them in practice on large-scale problems. Programming Skills: You are proficient in at least one scientific programming language (such as Python
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent