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for the role holder as outlined in the job description, and highlight any expertise relevant to the project. Interviews are provisionally scheduled for mid-June. As part of our commitment to career development
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, wearable sensor data, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and
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Engineering, Neuroscience, or related fields. Tasks to be performed: Collection of experimental data in humans, development of neural decoding algorithms from bioelectrical signals, and development of a
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development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position in
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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Robotics Centre (MRC) at The Chinese University of Hong Kong (CUHK). The successful candidate will contribute to the development of an advanced telesurgery platform built on a novel surgical system. This
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Research line / Scientific-technical services: Development of information systems with advanced technologies such as DDM, LPS, GIS and CDS. Grant/funding period: START: 01/01/2025 END: 20/11/2028 Centre
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
Development Department/Unit Family Medicine Location Halifax, Nova Scotia, Canada About the opportunity The Department of Family Medicine (Halifax Site), Dalhousie University and Nova Scotia Health (NSH) invite
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offer a researcher position in AI-based metrology for medical imagining. The focus will be on developing traceable and reliable methods for quantitative spectral CT imaging and personalised dose