Postdoctoral Positions
Postdoctoral Research Position in Proteomics
A postdoctoral research position involving the study of protein structure and function is immediately available in the Proteomics Center of Keck Graduate Institute of Applied Life Sciences (KGI). Current research topics include discovery of biomarkers and mechanisms of physiological changes or disease processes from differential proteome analysis of cells, tissues and blood samples, with a particular interest in the study of aging, cancer and diabetes. The Center is directed by Prof. Deb N. Chakravarti and is equipped with protein purification and protein analysis systems that include 2D gel electrophoresis, gel image analysis systems, image analysis software packages, 2D fluorescence difference gel electrophoresis (DIGE) technology, Thermo Finnigan ProteomeX integrated workstation containing LCQ Deca XP ion trap mass spectrometer, Beckman System Gold HPLC, Nanostream's Veloce high-throughput micro-parallel microfluidic liquid chromatography system and tissue culture facility.
The position requires a PhD in the physical or biological sciences, good recommendations, research productivity as evident from publications and an avid interest in interdisciplinary research in applied life sciences. Experience in bioinformatics, computer programming - particularly with the UNIX operating system and targeted proteomic methods to develop MS-based biomarker discovery is a plus. Good communication and problem-solving skills as well as self-motivation are expected.
KGI is a member of the Claremont Colleges Consortium located 35 miles east of Los Angeles, at the foot of the San Gabriel Mountains. Interested candidates should send a cover letter, curriculum vitae, and contact information for three references to:
Professor Deb N. Chakravarti, PhD, DPhil (Oxon)
Beckman Professor and Director of Proteomics
Keck Graduate Institute of Applied Life Sciences
535 Watson Drive, Claremont, California 91711
E mail: dchakravarti@kgi.edu
Web: www.kgi.edu/x2699.xml
October 2006
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Postdoctoral Fellow
A postdoctoral fellow is needed to work on a project related to our NSF FIBR grant entitled “Origins and evolution of modularity”. Specifically, the fellow will be involved in the discovery and implementation of new methods for identifying modules in protein and genetic networks in yeast and related organisms.
Responsibilities:
- Develop new mathematical/computational methods for identifying modules that have functional significance
- Implement these methods in a computational framework that is applicable to any organism of interest
- Study whether genetic interactions stride across or lie within modules
- Study the extent of evolutionary conservation within modules
Education and Experience:
The candidates must have a PhD in Computational Biology, Computer Science, or the Physical and Mathematical Sciences and Engineering with a strong track record in computing and mathematical modeling. Previous postdoctoral experience and exposure to life sciences is preferred.
KGI is a member of the Claremont Colleges Consortium located 35 miles east of Los Angeles, at the foot of the San Gabriel Mountains. Interested candidates should send a cover letter, curriculum vitae, and contact information for three references to:
Human Resources
Keck Graduate Institute
535 Watson Drive
Claremont, CA 91711
Fax: 909-607-8086
e-mail: job_applications@kgi.edu
2/9/07
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Postdoctoral Fellow
Keck Graduate Institute (KGI) invites applications for one postdoctoral position in the area of biosignal processing. The successful candidate will join a new research group that is applying machine learning to physiologic signals to enable diagnosis of various conditions. Specifically, the candidate will 1) set up an experimental apparatus for drowsiness monitoring, 2) conduct drowsiness experiments, and 3) use the experimental data to develop an automated drowsiness detection algorithm.
The candidate must have a PhD in Biomedical Engineering or Bioengineering, and have graduated from a biosystems or equivalent track, with a minimum GPA of 3.5. Dissertation must be based on a physiologic signal, with associated noise minimization, pattern recognition, prediction, or classification algorithm development. The candidate must have previous Matlab or LabVIEW (preferred) programming experience.
KGI is a member of the Claremont Colleges consortium located 35 miles east of Los Angeles, at the foot of the San Gabriel Mountains. Equal Employment Opportunity and Non-Discrimination: KGI does not discriminate on the basis of race, color, creed, religion, national or ethnic origin, sex, gender, age, sexual orientation, marital status, pregnancy, disability, medical condition, or veteran status, in the administration of its admission policies, educational policies, scholarship and loan programs, athletic and other College-administered programs, and employment policies, and strongly encourages candidates from underrepresented groups to apply. Interested candidates should send a cover letter, curriculum vitae, and contact information for three references to:
Dr. Gail Baura
Keck Graduate Institute of Applied Sciences
535 Watson Drive
Claremont, CA 91711
machinelearning@kgi.edu
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