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Field
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Groningen as a PhD student. Your tasks Develop a bird inspired algorithm and robot capable of magnetic navigation like a bird using the guidance, navigation and control framework as a robotics basis. Develop
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of the data assimilation framework in controlled experiments and evaluate its potential for spaceborne remote sensing and larger landscape-scale applications Improve simulation accuracy for key ecosystem
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established LCA metrics, such as CO2 equivalents. - Collaborate closely with interdisciplinary project partners to feed LCA insights, alongside monitoring and diagnostic data, directly into the system's control
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 days ago
immunostained H2B). To control the light and temperature conditions at the microscope we use a custom LED setup and a temperature control device (S3). Image analysis will be conducted using ChromTrack3D tools
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with electrolyser devices Experience in in-situ/operando spectroscopic methods including XPS, XAS and Raman is advantageous Very good command of English (C1 or higher) in relation to scientific writing
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
the Collaborative Research Center SFB 1324, which is a highly collaborative network of labs investigating the mechanisms of Wnt signaling in animal development and disease. Wnt signaling controls tissue patterning
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role of chromatin control mechanisms during viral latency and virus-induced tumorigenesis. We are particularly interested in fundamental principles that allow DNA viruses to disrupt, evade or exploit
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strategies and applications. At the heart of each position lies the ambition to better understand how microbes interact, adapt, and perform in controlled environments. You will use advanced cultivation
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resource extraction. We are offering a PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project aims to develop novel approaches for controlling
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processes and infrastructures Development of control concepts for highly dynamic and load-flexible plants Coupling of technical, economic and ecological perspectives for optimised process design Experimental