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Field
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electrical engineering, Computer Science, or any other relevant subject. Specific skillsets include programming skills such as C and Matlab, and experience with Amazon Cloud. Priority would be given
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applications in aerospace, turbomachinery, ventilation and other flow-duct noise control technologies. Noise from ducted flow systems remains a major engineering and health challenge, particularly where space
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at the intersection of marine ecology, ocean technology, machine learning, and high-throughput biological imaging. This position offers a rare opportunity to help pioneer the use of advanced shadowgraph imaging systems
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
to invent new drugs and tools to modulate and engineer metabolism. Become part of the founding phase of a new Austrian Academy of Sciences institute dedicated to molecular and computational metabolism
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functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National
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. · Other related duties as assigned. EDUCATION & EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics
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- Fundacao para a Ciencia e a Tecnologia, I.P. (Portuguese Foundation for Science and Technology). 1. GRANT DESCRIPTION Type of grant: Research Grant (BI) General scientific area: COMPUTER SCIENCE Scientific
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coordination of Paulo Jorge Freitas Oliveira Novais, Full Professor, Department of Informatics, School of Engineering. Fellowship duration: The grant will take place for a period of 4 months, with a provisional
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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the Programme Contract concluded with the Portuguese Foundation for Science and Technology (FCT), effective from 1 January 2021, reference No. LA/P/0095/2020, within the framework of the award of Associate