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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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), which are driven by real applications in life science research Develop solutions to integrate large foundation models into microscopy image analysis and analytical data analysis workflows, together
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
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the field of model-driven and data-driven computational science. Job description Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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coding background. You must hold a master’s degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar. Knowledge in machine learning is desired. We are looking for a driven
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technology Computer science » Modelling tools Computer science » Programming Engineering » Biomedical engineering Physics » Biophysics Mathematics » Applied mathematics Researcher Profile First Stage
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of science, technology and administration as well as for the education of highly qualified young scientists. Photonic technologies and ultrafast lasers play a foundational role for DESY’s research efforts
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. Photonic technologies and ultrafast lasers play a foundational role for our
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applied engineering aspects of spaceflight systems modeling and motion analysis, with an emphasis on advanced visualization techniques for both rotational and orbital dynamics. The research will address