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The assessment of the applicants will be made by Associate Professor Guido Tosello and Associate Professor Sankhya Mohanty. We offer DTU is a leading technical university globally recognized for the excellence
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Molecular Ecology group, led by Tenure Track Assistant Professor Nadieh de Jonge, within the section of Environmental Biomonitoring, which focuses on the implementation and development of state-of-the-art
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the Department of Computer Science. A dedicated supervisory team led by Professor Christian S. Jensen and composed of experts from the Departments of Electronic Systems and Computer Science support the PhD project
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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 The assessment of the applicants will be made by Associate Professor
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for the position will be carried out by qualified experts. Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will
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candidate will be hosted by the Section for DATA at the Department of Computer Science as part of the CLASSIQUE center. A dedicated supervisory team led by Professor Torben Bach Pedersen, Associate Professor
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the project. Perform simulation of metallurgical phase transformations. Design and carry out experiments to validate the developed numerical simulations and/or to help suggesting improvements to the numerical
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Assistance in Complex Acoustic Environments within the general study programme Electrical and Electronic Engineering. The PhD Stipends are open from August 1, 2026, and the integrated PhD stipends are open for
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. Embark on the exciting and fundamental research track intended to provide mechanistic information on human brain changes in pain conditions. Your research will help us understand the mechanisms involved
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biotechnology, bioengineering, or a similar field. You will work under the supervision of Tenure Track Assistant Professor Dr. Raphael Ferreira. Your project will focus on developing clinically relevant genome