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丹麦哥本哈根大学激酶特异性癌症和演化计算机建模方向博士后职位
文章来源:知识人网整理       更新时间:2015年03月23日

Postdoc position in computational modeling of kinase specificity in cancer and evolution : Copenhagen, Denmark

 

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.

Start: As soon as possible.
Duration: Until 31st October 2016 with the possibility of extension

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.

Please read more about Linding Laboratory on www.lindinglab.org

For further information regarding the position, please contact Professor Linding at +45 2365 1941 orlinding@lindinglab.org

Terms of salary and employment
Salary, pension and terms of employment will be in accordance with the agreement between the Ministry of Finance and The Academics Central organization. Currently, the monthly salary starts at 31.951 DKK/ca. 4.250 Euro plus pension. Depending on qualifications, a higher salary may be negotiated. The candidate will receive a high monthly retirement supplement in addition to the salary.

The postdoctoral salary in Denmark is one of the best world-wide. Non-Danish and Danish applicants may be eligible for a low flat-rate tax (26%+8%), while remaining fully eligible for all public services of the Danish well-fare societytax reductions. The applicant must hold a PhD degree and not have lived in Denmark the last 10 years.

The position is covered by the “Memorandum on Job Structure for Academic Staff at the Universities” of June 28, 2013.

Application
Your application for must be submitted electronically by clicking ‘Apply now’ belowor via the university’s job portal on http://employment.ku.dk/faculty/. The application must include the following documents/attachments, which must all be in PDF format:

1.Motivated letter of application (max. one page).
2.CV incl. education, work/research experience, language skills and other skills relevant for the position.
3.A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
4.List of publications.

Letters of recommendation
Furthermore, the applicant should provide two letters of recommendation. To be taken into consideration, the letters must be signed by the supporting persons on paper with institutional letter head and in PDF-format. These should be received before the deadline on jobs@bric.ku.dk with the subject “name candidate-postdocERC-April2015”; preferably by the supporting persons. Please make sure that an easy match between the recommendation letter and the individual applicant is possible.

Application deadline: 26th April 2015.

We reserve the right not to consider applications or supplementary material received after deadline, and not to consider applications or letters of recommendation that do not live up to the above-mentioned requirements.

Applications will be assessed according to the Ministry Order on the Appointment of Academic Staff at Universities 2012 and the University of Copenhagen’s guidelines 2013. In addition to the required qualifications, the main criteria for selection will be a strong research potential, personal drive and experience with the above mentioned techniques, methods and area of research.

University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.

The University of Copenhagen actively influences current and future generations through excellent research, education and co-operation. UCPH is one of the highest ranked universities in Europe and is Denmark’s oldest university, founded in 1479. Today, the University has 40,000 students and 9,000 employees affiliated across six faculties: humanities, law, natural sciences, social sciences, health sciences and theology….

 

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