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dynamic organizational context of a growing, globally connected research university. The doctoral candidate will work with Assist. Prof. Potheini Vaiouli on topics related to the processes of learning and
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the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model to guide the implementation of legally compliant data
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as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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remain highly manual, time-consuming processes. These tasks involve designing scenarios, generating associated content, executing and monitoring exercises, providing guidance, and incorporating feedback
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encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged
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will be processed upon reception. To ensure full consideration, candidates should apply by 15 August 2025ONLINE formally through the HR system. Applications by Email will not be considered. All qualified
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Applications should include: Curriculum Vitae Cover letter 2 selected publications from your PhD thesis Early application is highly encouraged, as the applications will be processed upon reception