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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use
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opportunity to develop your professional skills in a versatile operating environment. In your work, you will be part of a large group of doctoral researchers, other researchers, and supervisors in the doctoral
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asset. Why work for us? We offer you a diverse and challenging position supporting top-level research in an international work community. You will have the opportunity to develop your skills as part of
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for the duration of the project, access to modern laboratory facilities, and strong support for professional development, including the possibility to attend international conferences and training courses. In
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-career scientist who will complement our existing research strengths while developing a unique, externally funded research profile. The position comes with an attractive startup package and is initially
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, biophysics, biochemistry, systems and cell biology. In MEDI unit, genome wide methods, computational approaches and experimental models are developed and utilized to understand the mechanisms of diseases, e.g
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to the development of innovative light-emitting polymeric materials, with direct relevance to improving sustainability and widening applications. Key Responsibilities Design and Synthesis of novel light-emitting
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
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Control Strategies for Autonomous Driving (HUMINAC). The project focuses on developing novel, human intention–aware control strategies at the intersection of machine learning, reinforcement learning, and