Job ID: 3052
Job date: 2015-03-25
End Date:
Company : University of Copenhagen Country : Role : Postdoc
Job date: 2015-03-25
End Date:
Company : University of Copenhagen Country : Role : Postdoc
Job Description:
Postdoc position in computational modeling of kinase specificity in cancer and evolutionUCPHBRICDenmark-Copenhagen A postdoc position is available in the laboratory of Prof Dr Rune Linding, a world-leading network biologist whose research focuses on the mechanisms by which cells use signaling networks to respond and adapt to changes in their environment. We are seeking a highly motivated and brilliant postdoc to join our highly dynamic, productive and stimulating lab.
The group and our research
The Linding Laboratory is a network biology research group based at the Biotech Research and Innovation Centre at the University of Copenhagen (BRIC). Our lab explores biological systems by both generating high-throughput data and developing algorithms aimed at predicting cell behavior with accuracy similar to those of weather or aircraft models. A major focus of our lab is studying cellular signal processing and decision-making during cancer progression.
Project/The research project(s)
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. The generated models will be related to our recent studies on phosphorylation networks and network medicine (Creixell et al. 2012 Nature Biotechnology, Erler & Linding Cell 2012, Bakal, Linding et al. Science 2008, Tan et al. Science 2009 and Tan et al. Science 2011 and Jørgensen et al. Science 2009). The project is a collaboration between the Linding Laboratory, Prof. Mike Yaffe’s lab at MIT, and Prof. Ben Turk’s lab at Yale.
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.
Job Information
Position Type: Postdoctoral Position
Start Date: ASAP
Duration: Full Time
Status: open
Contact Information
UCPH
BRIC
Prof Rune Linding
linding@lindinglab.orghttp://employment.ku.dk/faculty/?show=725378
Additional Info:
[Click Here to Access the Original Job Post]
Postdoc position in computational modeling of kinase specificity in cancer and evolutionUCPHBRICDenmark-Copenhagen A postdoc position is available in the laboratory of Prof Dr Rune Linding, a world-leading network biologist whose research focuses on the mechanisms by which cells use signaling networks to respond and adapt to changes in their environment. We are seeking a highly motivated and brilliant postdoc to join our highly dynamic, productive and stimulating lab.
The group and our research
The Linding Laboratory is a network biology research group based at the Biotech Research and Innovation Centre at the University of Copenhagen (BRIC). Our lab explores biological systems by both generating high-throughput data and developing algorithms aimed at predicting cell behavior with accuracy similar to those of weather or aircraft models. A major focus of our lab is studying cellular signal processing and decision-making during cancer progression.
Project/The research project(s)
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. The generated models will be related to our recent studies on phosphorylation networks and network medicine (Creixell et al. 2012 Nature Biotechnology, Erler & Linding Cell 2012, Bakal, Linding et al. Science 2008, Tan et al. Science 2009 and Tan et al. Science 2011 and Jørgensen et al. Science 2009). The project is a collaboration between the Linding Laboratory, Prof. Mike Yaffe’s lab at MIT, and Prof. Ben Turk’s lab at Yale.
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.
Job Information
Position Type: Postdoctoral Position
Start Date: ASAP
Duration: Full Time
Status: open
Contact Information
UCPH
BRIC
Prof Rune Linding
linding@lindinglab.orghttp://employment.ku.dk/faculty/?show=725378
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]