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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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society. We are a major part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions together. Our
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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is to develop an innovative digital platform to support persons with hearing problems – from initial self-help to professional care. Termed ‘Online Service Centre for heAring caRe’ (OSCAR
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
Job Description The Digital Building Technologies (DBT) Section at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate
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. Responsibilities and qualifications Your overall focus will be to build a digital twin model of urban surroundings based on large-scale image data that can be used for analysing how urban design influence mobility
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
a Research Infrastructure? No Offer Description The Digital Building Technologies (DBT) Section at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled