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working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts as a
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. Particularly, you will Develop novel methods for the mapping of RNA ensemble dynamics in living cells. Identify regulatory RNA switches involved in cell fate determination using both cancer cell lines and
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foundation in statistical modeling and algorithm development, with the ability to translate complex data into actionable insights; Preferably, experience applying these methods in the context of healthy
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); Interest/knowledge in cell culture is needed for one of the positions. As we use a combination of methods to gauge the molecular action of drugs, being a strong team player is very important for
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oncology. Experience or willingness to learn proteomics sample preparation and LC-MS(/MS) analysis (you will be assisted to learn these wet lab methods). Experience in melanoma research, LMD, or high
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LC-MS(/MS) analysis (you will be assisted to learn these wet lab methods). Experience in melanoma research, LMD, or high-performance computing is a plus. Team player collaborating efficiently with
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aerospace industry, operating in a truly multidisciplinary fashion and fostering research on innovative systems, design concepts, lean development approaches (e.g. AGILE), and working methods. Through its
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fields. It is used to monitor climate change, optimise industrial control, as well as observe important chemical or biological reactions related to life sciences. Among several optical methods
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high-quality genome assemblies; characterize genome organization through Hi-C data analysis and other computational methods; study the evolution of genome-shaping proteins through comparative genomics
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the right engineering expertise, tools, methods and standards for the development of future projects. The role of the Division’s AI and Data Science Section is to lead the Agency’s centre of excellence