1 Postdoctoral Position in Computational Modeling in Denmark | University of Copenhagen

In this position, the successful applicant will develop computational models and tools (such as NetworKIN and NetPhorest) to integrate genomic, quantitative phospho-proteomic and phenotypic data to investigate the drift in kinase specificity during natural evolution and cancer development.

Qualifications:

Candidates should hold a PhD degree or equivalent in computational biology, computer science, physics, bioengineering or other relevant field.

• Experience in Bayesian statistical analysis and Machine Learning, high performance computing, analysis of proteomics, DNA and RNA sequencing, and/or large-scale systems studies is a distinct advantage.
• Experience with signal transduction, bioinformatics and/or programming (Python, R, C++, C and/or FORTRAN) is also desirable.
• The post-holder must be keen to analyze and computationally handle large-scale quantitative data to reach a deeper understanding of the biological question at hand.
• Applicants should be able to work independently and to plan and carry out complicated tasks, while also being part of a large and dynamic group.
• Strong communication skills in English, both written and spoken are required.

Place of employment

The successful applicant would be employed at BRIC, University of Copenhagen. However the laboratory is physically based on the Technical University of Denmark’s campus in Lyngby. Time will be shared between the Linding Laboratory and Symphogen A/S as required by the project.