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conditions: Scientific Area: Product Design or related areas Recipients: Masters in Industrial Design, Product Design or related areas, enrolled in a PhD or non-degree course, in the scientific areas indicated
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degree recognition processes. c) Preferred factors: Experience in optical characterization technologies (preferably Brillouin spectroscopy) and/or experience in microfabrication technologies applied
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and Bioinformatics Group. For more information about the group, please refer to https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics For more
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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intelligence–based medical systems; research experience in artificial intelligence, biomedical signal and image processing, pattern recognition, or medical diagnostic systems. Specification of the terms and
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intended to be an exhaustive statement of duties. Description To perform lead/advanced level duties in the recognition, evaluation, and control of radiological hazards to employees and the general public
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educational impact of the initiatives to modernize health education, focusing on Axis 1 – Clinical Simulation, for the SIMFMUP of FMUP, will be: To develop a study design that allows the analysis
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support service to staff and students by mainly following established working patterns. Further information about the research interests of this team can be found: https://www.ncl.ac.uk/dental/people
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fulfilment of the project’s four specific objectives. In month 1, the literature review will be deepened and the methodological design and sample selection of Portuguese and European HEIs will be finalised
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national recognition for the high quality of its academic programs, focus on maintaining strong student/faculty interaction, and innovative faculty research. General Information: The Center for Assessment