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of an assistant professor. This appointment offers a unique opportunity to establish oneself as a researcher in the field of data-driven life science and includes access to a formidable package of resources
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methods such as NGS, chemical proteomics, and imaging. As the computational lead at CBGE, you will coordinate data-driven projects, spark collaboration across research units, and serve as the key bridge
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application! Work assignments The purpose of the position as an assistant professor is that the teacher should be given the opportunity to develop his independence as a researcher and to merit both
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will be responsible for data management and infrastructure, implementation and development of analysis pipelines. You will work on different datasets and help our users with image and downstream analysis
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life sciences. The system development team consists of two Scrum teams that develop and implement tools for handling big data and web applications for research groups and EU-funded projects. You will be
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, Interoperable, Reusable) principles through robust metadata frameworks and standardization practices. Key Responsibilities Design, build, and maintain scalable bioinformatics pipelines for MS proteomics data
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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international projects. Our colleagues may be next door, in Helsinki, or in Lisbon, and a lot of our work happens asynchronously over chat or e-mail, but video meetings are also common. We’re a small team and