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Field
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computer vision applied to healthcare; developed within ongoing projects and other future projects in related areas, as well as the pursuit of new funded projects and support for laboratory management at CIR
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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automation, assay development, computer programming and data analysis, are highly encouraged to apply. Additional Information Appointment End Date: This is a one year term position Standard Hours/Schedule: 35
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. Experience of working with large multimodal datasets. Interest in human-computer interaction and human-centred system design. Strong communication and organisational skills. While it is not necessary to have
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infrastructure and travel budgets. You will have the opportunity to attend international conferences and build a scientific network. For more information, please contact prof. dr. Simon Vandevelde, mail
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Kuemmeth (University of Regensburg, Germany). Projects include the development and operation of spin qubit processors, the exploration of coherent Andreev bound states in hybrid quantum dots, and the study
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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, AR/VR application development, AI assisted content generation, and human computer interaction in industrial contexts.• Communication: You communicate effectively in English, both orally and in writing