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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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Infrastructure? No Offer Description Summary A fully funded PhD position (four years) is available for an Early-Stage Researcher in the area of additive manufacturing, with an emphasis on thermomechanical modeling
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop, model
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-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
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complementary aspects of additive manufacturing, including technical design, logistics, sustainability assessment, and regulatory frameworks. Your PhD position will be embedded in the Information Systems group
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mandatory core focus, the PhD position allows room for the individual research interests of the applicant to shape specific aspects—whether in modeling strategy, applied machine learning methods
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Italy Application Deadline 31 Oct 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job
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The Department of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology invites applications for PhD positions within the Business
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fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant