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technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome
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engineering, architecture, built environment studies, management, organisation studies, information systems, innovation studies, or a related field. A strong interest in digital transformation, construction
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: Industrial Design Engineering (IDE), Civil Engineering and Geosciences (CEG), and Technology, Policy and Management (TPM). As a PhD candidate, you will conduct research aimed at making public transport more
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the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by
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Do you enjoy working in an interdisciplinary research environment? Are you interested in applying multiple methods to advance research in linguistics and cognitive science? If you imagine yourself
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multidisciplinary network of researchers within the departments of Molecular Cell Biology & Immunology and Pathology at Amsterdam UMC. Would you like to know more about the different phases within the PhD trajectory
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, political science, and economics; You will contribute to the theoretical development of the concept of social network deficits; With our support, you will be in charge of all aspects of data collection (from
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to tackle social challenges. At the Faculty of Science, scientists and students work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data