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to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing listening effort
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algorithms for resource-efficient learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce
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sensing for aero-optic applications. The goal is to advance the wavefront sensing capability and include TIP/ILT estimates in the algorithm. Why should I apply? Under the guidance of a mentor, you will
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believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
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for Research in Mathematical Sciences and the Principles of Intelligence (PrincInt: https://princint.ai/ ), housed within the Fields Institute's Centre for Mathematical AI. The fellowships support research
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
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metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en
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also be involved in improving object reconstruction, such as developing advanced algorithms for tau lepton identification or jet substructure / particle-flow techniques to identify Higgs bosons decaying
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking