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glycoproteins essential for the health of mucosal surfaces. Our goal is to leverage cutting-edge mRNA technology to induce mucin overexpression in vivo, opening new therapeutic avenues for diseases linked
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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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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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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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that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
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about career paths at DTU here . Further information Further information may be obtained from Professor Peter Ruhdal Jensen at +45 2085 5601 or perj@food.dtu.dk . You can read more about DTU National Food
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1 year. You can read more about career paths at DTU here . Further information
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position. The period of employment is 2½ years. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior Scientist Claus Heiner Bang-Berthelsen
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we