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for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong track record of publications. Preference will be given to those
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 5 days ago
experience in: • Cell culture techniques. • Genomics and sequencing technologies. • Quality management systems. • Use of computer applications and databases. • Statistical analysis. Desirable qualifications
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for building Data+AI systems. Wring research papers of high quality based on research results Building deployable Data+AI systems based on the research results. Job Requirements: Preferably PhD in Computer
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for 2030+. About you Applicants should have a good honors PhD degree in wireless communications or AI and computer vision fields and a strong track record of publications. Preference will be given to those
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Computer science » Computer systems Computer science » Programming Technology » Computer technology Technology » Information technology Medical sciences » Health sciences All Researcher Profile First Stage
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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. Qualifications Applicants must hold a PhD or equivalent qualifications in a relevant field, such as Child-Computer Interaction, Human-Computer Interaction, Learning Sciences, Educational Technology, Computer
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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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: Preferably PhD degree in Computer Science or equivalent. Have a solid foundation in the following areas: Computer Vision, 3D vision; Strong publication records in top-tier computer vision and machine learning
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and