美国霍华德.休斯医学研究中心博士后职位
Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time. HHMI scientists have radically advanced the understanding of cells, the brain, the immune system, the development of organs, and how to treat many diseases. Founded in 1953 by aviator and industrialist Howard R. Hughes, HHMI is headquartered in Chevy Chase, Maryland, and employs more than 2,500 people across the U.S.
We are currently seeking a self-motived and enthusiastic Postdoctoral Associate within the lab of Dr. Evgeny Nudler at NYU School of Medicine in New York, NY. Working in both prokaryotic and eukaryotic species, the lab investigates cellular stress responses with a special emphasis on damage sensing and repair. To learn more about the science of the lab, visit our website: http://nudlerlab.info/lab/
We are looking for ambitious, creative and hard-working candidates with a can-do spirit.
Our lab especially encourages applications from candidates who enjoy performing both bench-work and analysis of large data-sets. We welcome applicants with expertisie in one or more of the following areas: molecular biology, bacterial genetics, synthetic biology, bioinformatics, biochemistry, and structural biology.
The candidate is expected to work both independently and as part of a collaborative team within the lab. Academic development is a central feature of this role, and we will actively support the fellow’s professional growth through individual development plans, one-on-one mentoring, and professional skill development through workshops offered by our lab on NGS, proteomics, and data analysis – as well as by NYU’s postdoctoral training program.
Required Qualifications
· PhD in molecular biology, Microbiology, Biochemistry, Bioinformatics, structural biology, or a related field
· Basic coding and data analysis skills are a strong plus
· Strong publication record is highly preferred
Applicants should submit both their curriculum vitae and a cover letter explaining their research experience, interest goals, and available start dates.
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