35 distributed-algorithm-"Newcastle-University" positions at Technical University of Denmark
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sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit, and excellent collaboration skills. You will be responsible for the collection
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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to address interconnected food systems challenges—diminishing diversity, inequitable production and distribution, knowledge privatization, nutritional depletion, blandness—through interdisciplinary research
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characterize antenna- and metasurface-based solutions for both uniform as well as focused field distributions throughout dedicated and realistic examples of lossy media such as human tissue and fluid-cell
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-film solar cells. LightTrap covers the entire discovery chain, from ab initio calculations and photonic simulations to materials synthesis and nanostructuring, all guided by advanced AI algorithms
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meetings Potentially participate in Arctic field campaigns Be working with large data sets and developing algorithms. You should be highly motivated, self-driven, and possess strong work ethics, team spirit
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developing 3D vision algorithms for object detection, recognition, and scene understanding to support planning and task execution in dynamic environments. Publishing research findings in leading international
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evaluate BCI algorithms for decoding motor intentions Integrate BCI systems with KAIST’s advanced exoskeletons Conduct experiments with healthy subjects and stroke patients Collaborate closely with a KAIST
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data Design algorithms for correlating low-level events into process-level attack models Contribute to joint framework development with TU/e on continual learning Collaborate with industry partners
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spatial distribution of coupled cavities for photonic reservoir computing Validate the analysis on a small scale-circuit (< 10 coupled cavities) The doctoral candidate (DC) is expected to travel to network