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the following documents: You can address your application to Job van der Werf. For information about the application procedure, please contact J.A.vanderwerf@tudelft.nl Doing a PhD at TU Delft requires English
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part of the PhD position, there will be opportunities to gain teaching experience in the relevant courses and/or supervising MSc students. More information about our research group can be found at: https
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in partnership with an ongoing digitization project of Collectie Overrijsel. The data will be qualitatively and quantitatively analysed by means of annotation and geospatial tools. The PhD project
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The PhD candidate will investigate motivators and barriers in consumer acceptance of 3D printing for repair and refurbishment practices and develop and test interventions to increase adoption. Job
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group, at TU Delft to pioneer self-organizing edge infrastructure that will define the next generation of Internet architecture. This PhD position offers you the opportunity to shape the future
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stimulation. Analyzing MRI and EEG data to identify patterns that could lead to personalized TMS protocols. Writing scientific papers and your PhD thesis, contributing to the advancement of personalized brain
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://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques
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the project partners for generating/obtaining the needed data as well as for setting up realistic case studies. The position is available with a flexible start date to be agreed upon. The PhD candidate will
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pharmaceutical companies in expediting and refining the development of next-generation nanomedicines. Information We are seeking an enthusiastic and motivated PhD candidate to join our dynamic team at Nanoworx! As
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approaches have not been updated in the era of IoT and AI. The overarching aim of this PhD research is to develop a novel data-driven safety assessment and certification framework, leveraging multiple data