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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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to internationally-oriented, interdisciplinary research of high societal relevance with our new research programme Transformations, Communities, and Environments (TRACE), which encompasses socio
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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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. The focus of this project is the development of advanced electrochemical purification methods to recover lithium from industrial wastewater. In this project, the postdoctoral researcher will focus
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qualitative research methods such as walk-through and focus group interviews, ethnographic observation, online diary analysis and content tracking. You will be expected to Collect empirical data on musicians
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populations. The University of Groningen is responsible for deploying both conventional and novel methods for data analysis to study the way that providers of services for vulnerable groups interact with
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multidisciplinary project aimed at characterizing the role of RNA structural ensemble dynamics in driving cell fate decision. Particularly, you will Develop novel methods for the mapping of RNA ensemble dynamics in
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-computers. We expect excellent writing and speaking/presentation skills in English. This project will be carried out in close collaboration with an experimental PhD student that will start at the same time
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tumour response to treatment can then bring this much-needed clarity, and implementing this understanding into computational tools can provide the potential for rapid clinical response to patients
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for this position will have the following qualifications/qualities A PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in