102 data-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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, CV and exam certificates. If you would like additional information about the position, you are welcome to contact Communications Team Lead, Sashia Liv Weait, at +45 9351 0260. Applications received
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degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning
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sensing and responding to the chemical landscape surrounding them as well as the chemical signals inside of them. This project is devoted to gather large data sets to investigate links in olfactory receptor
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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 . Assessment The assessment
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can read more about career paths at DTU here . Further information Further information may be obtained from Professor Rasmus Bjørk, +45 46 77 58 95, rabj@dtu.dk You can read more about DTU Energy at
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application no later than 16 December 2025. Open the “Apply now” link, fill out the form and attach your cover letter, CV, one professional letter of reference, with referee’s contact information, and any
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on establishing a foodborne disease surveillance system in Ethiopia, while also supporting other research activities in the group, such as applying genetic data to health impact assessments. Responsibilities and
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D