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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
to the development and improvement of experimental methods and measurement techniques in this field. High-pressure phase behavior and thermophysical properties are essential for the reliable design and safe operation
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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protype within the duration of the Ph.D. project. The successful candidate will develop physical models of the system being built with the aim of predicting and optimizing its performance. In addition
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combination of activities including securing competitive funding at national and European levels, building new collaborations within DTU and with external stakeholders, and initiating high-impact scientific
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annual global high-resolution satellite-based datasets including a wide range of woody properties assessed at the level of single trees and quantified at tree- or patch-level (e.g. tree count, forest
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are available within the general study programme in Mathematics. The stipends are open for appointment from August 1, 2026, or soon as possible thereafter. The stipends are available for 3 or 4 years depending
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”, affiliated with the Danish Innovation Index (DII) at the PhD Programme Management, and will establish the Danish Innovation Index as a research excellence group at the Department. The positions are available
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application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for
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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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performance PhD enrolment: Technical University of Denmark DC7: High-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability assessments PhD enrolment