69 data-scientist Postdoctoral positions at Technical University of Denmark in Denmark
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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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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career paths at DTU here . Further information Further information may be obtained from Associate Professor, Christian Solem on chso@food.dtu.dk You can read more about the DTU National Food Institute
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start on September 1st 2025 or according to mutual agreement. Further information Further questions about the project should be directed to Luca Laraia, email: luclar@kemi.dtu.dk If you are applying from
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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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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
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research frameworks developed at DTU Integrate product data, regulation, and stakeholder needs into tailored solutions Address behavioural, incentive, and digital aspects of take-back design Collaborate
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here . Further information Further information may be obtained from Venkata Nadimpalli (vkna@dtu.dk ) or Jesper Hattel (jhat@dtu.dk ). You can read more about DTU Construct at www.construct.dtu.dk, and