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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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of computational chemistry. Applicants can have a background from cheminformatics including RDKit, machine learning applied to chemistry, and molecular modeling Our group and research- and what do we offer? Our
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state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of 150 working hours per year. A PhD grant portion is currently (2025) DKK
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly supportive, international team where your ideas are welcomed, and your growth is prioritized Work at DTU
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, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly