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group is the identification of selective modulators and tool compounds for sterol transport proteins to study their basic biology and translational potential. You will develop and apply inhibitors
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positions are attached to four different collaborative projects with related but distinct goals, all making use of our expertise in squeezing-based entangled states of light: ClusterQ (ERC): A platform for
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amino acids, e.g. lysine, using fermentation technology. For this purpose, microorganisms that efficiently secrete amino acids will be developed. The vision is that microorganisms, in the future, can be
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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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industry partners to bridge research and practical applications, while contributing to the digital transformation of the building and energy management sectors. Your primary tasks will be to: Apply advanced
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Job Description A 2-year Postdoc in Internet of Underwater Things (IoUT) is available in the Embedded Systems Engineering (ESE) research section at DTU Compute , where you can help build up and
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the responsibilities and qualifications related to the role stated above and the following general criteria: Research experience within fermentation technology in lab-scale bioreactors and HT-microfermentation devices
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of this postdoc position is to develop and employ multiple in-situ spectroscopic techniques, including, but not limited to, surface-enhanced IR and Raman, to investigate the reaction intermediates
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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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a comprehensive grid of stellar and pulsation models for A and F stars using MESA and GYRE. Analyze how different model parameters affect pulsation characteristics. Use asteroseismology to study near