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paths at DTU here . Further information Further information may be obtained from Assoc. Prof. Luca Vannucci, lucav@dtu.dk . You can read more about DTU Electro at www.electro.dtu.dk . For more specific
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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with your supervisors, but you can work independently, investigating GaN design and pushing the state-of-the-art. Information and application Are you interested in this position? Please send your
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. The topics are not limited. Information about the available topics and supervisors can be found under the following link: http://scads.ai/positions2025. The location of work (Dresden or Leipzig) depends
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: A/Prof. Robin Hobbs School of Biomedicine E: robin.hobbs
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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factors (learning curve). These will be linked with the CCTA imaging biomarker data (quantitative plaque analysis) that is being collected as part of the EU HORIZON TARGET study to determine personalised
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job description and the link for submitting the application material under reference number 25063. If you have questions on the submission process or have questions on the position please contact Prof
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's