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September 2025 will not be considered. Additional comments PhD Enrolment The selected applicant will be enrolled into the Ph.D. program at the Technical University of Denmark – Department of Civil and
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Applications will be evaluated by Assistant Professor Lesia Mitridati and
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about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Theodora
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 6 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week
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Positions Country Denmark Application Deadline 31 Oct 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Feb 2026 Is the job funded
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the project. More specifically, the research should include the following: Creation of a digital twin model of urban surroundings based on large-scale image data that can be generally applicable in various
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and colleagues working with theory that will complement your work with density functional theory, phase-field simulations, and finite element modelling. Qualified applicants must have: Enthusiasm
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) at the Technical University of Denmark (DTU) invites applications for a fully funded 3-year PhD position focused on enhancing inter-subject BCI-assisted performance for exoskeleton control in stroke rehabilitation
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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 rules for the PhD education
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by exploiting