Job Description:
We are looking for an exceptional and highly motivated post-doctoral researcher to develop and integrate multi-scale computational models of large-scale signal transduction networks with laboratory data with the objective of identifying novel therapeutic approaches to complex diseases. Using existing and newly developed computational models, the researcher will be responsible for identification of novel drug targets and development of biologically plausible disease models for experimental and clinical validations. The post-doctoral researcher will also drive a novel approach and technology developed by our group to leverage computational systems biology in a crowd-sourcing fashion. More information about our group at http://helikarlab.org. Candidates must have a PhD in Biology, Bioinformatics, Computational Biology, Biophysics, Computer Science, Engineering or a closely related field. The researcher will work in collaboration with other members of the group, and will have the opportunity to work on multiple projects in an international and a highly interdisciplinary setting with laboratory scientists, computer scientists, engineers, and mathematicians. •Strong biology background (e.g., signal transduction, gene regulatory networks, immunology, host-pathogen interactions) •Experience with computational/mathematical modeling and simulations of networks. •Computational skills (e.g., machine learning, statistics) •Network model inference and analysis •Experience with extracting and manipulating large data sets from various databases, and integration of these data into predictive computational models •Programming skills in C/C++ and/or Java, and/or R If interested, please send a cover letter, CV and contact information for three references to Dr. Tomas Helikar at thelikar2 at unl dot edu. Starting date available immediately. The University of Nebraska has an active National Science Foundation ADVANCE gender equity program, and is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers….
Additional Info:
[Click Here to Access the Original Job Post]
We are looking for an exceptional and highly motivated post-doctoral researcher to develop and integrate multi-scale computational models of large-scale signal transduction networks with laboratory data with the objective of identifying novel therapeutic approaches to complex diseases. Using existing and newly developed computational models, the researcher will be responsible for identification of novel drug targets and development of biologically plausible disease models for experimental and clinical validations. The post-doctoral researcher will also drive a novel approach and technology developed by our group to leverage computational systems biology in a crowd-sourcing fashion. More information about our group at http://helikarlab.org. Candidates must have a PhD in Biology, Bioinformatics, Computational Biology, Biophysics, Computer Science, Engineering or a closely related field. The researcher will work in collaboration with other members of the group, and will have the opportunity to work on multiple projects in an international and a highly interdisciplinary setting with laboratory scientists, computer scientists, engineers, and mathematicians. •Strong biology background (e.g., signal transduction, gene regulatory networks, immunology, host-pathogen interactions) •Experience with computational/mathematical modeling and simulations of networks. •Computational skills (e.g., machine learning, statistics) •Network model inference and analysis •Experience with extracting and manipulating large data sets from various databases, and integration of these data into predictive computational models •Programming skills in C/C++ and/or Java, and/or R If interested, please send a cover letter, CV and contact information for three references to Dr. Tomas Helikar at thelikar2 at unl dot edu. Starting date available immediately. The University of Nebraska has an active National Science Foundation ADVANCE gender equity program, and is committed to a pluralistic campus community through affirmative action, equal opportunity, work-life balance, and dual careers….
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in C++
- Programing Skills
- Programming in Java
- Programming in R
- Statistics
- Systems Biology
Areas :
Additional Info:
[Click Here to Access the Original Job Post]