218 application-programming-android positions at Technical University of Denmark in Denmark
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Social Data Science, Network Science, Transportation Science, Economics, Geography, Physics, or Computer Science Experience from application areas within the mobility and/or transport domain, and a strong
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, and present research findings at conferences and workshops. Collaborate with researchers from other institutions within the European CLUSTEC program to advance the overall project goals. As a formal
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Job Description Are you looking for the best possible foundation for fulfilling your dreams and ambitions within application of bioinformatics to epidemiological research? At DTU National Food
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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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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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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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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