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Postdoctoral and Staff Research Positions in the Hahn Lab, University of North Carolina at Chapel Hill
Do you lie awake wondering about dynamic cell structures/ circuits? Would you like to develop proteins or small molecules that reveal new facets of cell and tissue function through microscopy? Hahn lab has openings for postdocs and staff members:
- Develop new molecular imaging tools that can reveal the conformational changes of individual molecules in living cells. Apply them to explore the dynamics of podosomes, adhesion complexes, and actin networks. This could include development or application of novel microscopes combining super-resolution and atomic force imaging with the Richard Superfine lab at UNC. See Cell, 184(22): 5670-5685, 2021. PMC8556369. Superfine lab
- Examine how signaling circuits are controlled by spatio-temporal dynamics in vivo. These studies will be based on novel biosensors and optogenetics/chemogenetics, so will focus on protein engineering and on imaging. We will illuminate complex, nonlinear regulatory circuits by combining novel molecular imaging with computational approaches developed by our collaborator Gaudenz Danuser. See Nature Chem. Biol., 16(8): 826, PMC7388658, and Science. 354(6318): 1441, 2016. PMC5362825. Danuser lab
- Harness organic synthesis to develop novel biosensors. This will include extension of our existing environment-sensing dyes, development of sensors based on small molecules, and methods to label proteins inside live cells. This project can provide a platform for chemists to extend their knowledge of organic chemistry, working in protein engineering and microscopy. See Am. Chem. Soc. 141(18):7275, 2019. PMC6572722, Science, 305:1615, 2004, and J. Am. Chem. Soc., 125: 4132-4145, 2003.
- We seek staff members to develop and maintain microscopes that work in conjunction with the molecules described above, and to apply molecular imaging tools. Experience with cutting edge microscopy, application of biosensors / chemogenetics / optogenetics, or coding / image analysis would be helpful. Positions at the BS or PhD level are available.
The University of North Carolina is a multidimensional research and clinical center with over $510 million in federal funding, making us the 11th largest research university in the United States. Our Pharmacology department was ranked #2 in the world for “Best Global Universities for Pharmacology & Toxicology”, and we are proud of the Nobel prizes awarded to our faculty in 2015 and 2019.
~Update posted 12-1/11/2022
The University of North Carolina at Chapel Hill Department of Pharmacology, Computational Medicine Program Assistant Professor (Tenure Track)
The Computational Medicine Program and Department of Pharmacology at the University of North Carolina at Chapel Hill (UNC-CH) invite applicants for a tenure-track faculty position in Computational Medicine. The Computational Medicine Program at UNC-CH is a newly established research initiative that seeks to integrate modern computational approaches, including mathematical modeling, machine learning, and network analysis, with cutting-edge experimental techniques to address problems relevant to human health. While the area of study is flexible, an ideal candidate would apply methods from systems biology to investigate the molecular mechanisms dysregulated in human diseases, and to eventually develop predictive models of these disease states. The successful candidate will hold a position, and research laboratory space, within the Computational Medicine Program, and also hold a position within the Department of Pharmacology. They will be expected to direct an independent research program supported by extramural funding, and participate in team science projects initiated through the Computational Medicine Program. The successful candidate will also participate in graduate student mentoring and teaching at the graduate level.
Doctoral Degree and 3-6 years of postdoctoral experience in pharmacology, computational/mathematical biology, biophysics or a related field.
Qualifications and Experience
Strong training and experience in applying computational and quantitative approaches to problems in biomedical research. It is anticipated that some candidates may be entirely computational, while others will incorporate an experimental component into their research; both types are eligible and encouraged to apply.
Please upload your C.V., cover letter, research statement, and list of at least four professional references here: https://unc.peopleadmin.com/postings/198798
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.