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of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science
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the human blood system, and the heterogeneity that exists therein. You will use a combination of systems biology and data science to gain a better understanding of cell differentiation at the protein-level
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Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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Designing and performing immunochemical analyses Bioinformatic analysis of data Data analysis and interpretation of results Scientific dissemination. You will work in close collaboration with other
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Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and
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the relevant union. The period of employment is 2 years, starting from September 2025 or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information
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performance of remanufacturing processes by providing data-driven material assessments and validation techniques. Responsibilities and qualifications You will join the Section of Materials and Surface