The laboratory of Dr. Paul N. Black in the Department of Biochemistry at the University of Nebraska has open postdoctoral positions to address fundamental questions in fatty acid trafficking and complex lipid metabolism. The Department is housed in the George W. Beadle Center, which includes state-of-the-art facilities in proteomics, metabolomics, genomics, crystallography, bioimaging, flow cytometry, bioinformatics, and biophysical spectroscopy. The Department of Biochemistry (/) offers a highly collaborative environment for advanced training in the molecular life sciences.
We are seeking candidates with experience using high-resolution mass spectrometry for experiments that are directed to follow the trafficking and metabolism of different classes of exogenous fatty acids in mammalian cell lines. These experimental strategies will be combined with Raman and coherent anti-stokes Raman spectroscopy (CARS) imaging. Expertise in mammalian cell culture and associated expression and knockdown technologies, lipid metabolism, and ability to apply state-of-the-art methods are preferred; candidates should e-mail their current CV, a description of their PhD work, and a list of three references to firstname.lastname@example.org.
A PhD in biochemistry or related field and publications in peer-reviewed journals are required. Lincoln Nebraska boasts an outstanding quality of life that includes fine culinary and artistic treasures, a live music scene and numerous parks, golf courses and bike trails.
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A Post-Doctoral Research Associate position is available for a PhD scientist to study the biosynthesis of sphingolipids and related lipids in higher plants and algae. In particular, the research aims to understand how flux into different lipid classes is regulated through the use of novel approaches using liquid-chromatography coupled to tandem mass-spectrometry (LC-MS). The ideal candidate will have experience in mass-spectrometry and/or the analysis of lipids and be skilled in basic biochemical and molecular biology techniques. This is a unique position for a higly motivated and talented scientist to develop their research career. Successful applicants must demonstrate excellent communication, writing and mentoring skills and the ability to work cooperatively within a team environment. Salary will be competitive and commensurate with qualifications and experience. This posotion is available from the summer of 2012 and will remain open until filled.
Please send a cover letter, curriculum vitae, statement of research interests and names of three references to: Dr. Jonathan E. Markham, Department of Biochemistry, University of Nebraska-Lincoln, 1901 Vine Street, Lincoln, NE 68588-0664 USA. Email enquiries to: email@example.com. Lab website: Markham website
Contact: Dr. Jonathan Markham
Department of Biochemistry
University of Nebraska-Lincoln
1901 Vine Street
Lincoln, NE 68588-0664
Employer's Web Site: /
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The University of Nebraska-Lincoln, Department of Biochemistry is looking for an exceptional and highly motivated post-doctoral researcher to develop multi-scale computational models, and algorithms and software tools to study biochemical networks involved in host-pathogen interactions. One of the main objectives of the project is the integration of biological data from various biological databases and across multiple scales into predictive computational and mathematical models. 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.
Candidates must have a PhD in 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.
- Experience with computational/mathematical modeling and simulations of networks (NOT limited to biological networks)
- Strong computational skills (e.g., in the areas of Markov Models, machine learning, statistics, agent-based systems)
- Prior experience in network inference and analysis
- Experience with extracting and manipulating large data sets from various databases, and integration of these data into predictive computational models
- Strong programming skills in C/C++ and/or Java, as well as R
- Experience with algorithm design
If interested, please send a cover letter, CV, and contact information for three references to Dr. Tomas Helikar at firstname.lastname@example.org
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.