Duke University, Computer Science
Position ID:
Position Title:
Postdoctoral Position in Image Analysis/Machine Learning/Structural Biology Bartesaghi Lab
Position Type:
Postdoctoral
Position Location:
Durham, North Carolina 27708, United States of America
Subject Area:
Appl Deadline:
none (posted 2024/10/15)
Position Description:
Position Description
A postdoctoral associate position is available in the Bartesaghi Lab at Duke University to work in the development of image analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET). The candidate will contribute to the design, development, and implementation of strategies to convert noisy tomographic data into high-resolution structures of challenging biomedical targets. Emphasis will be made in the development of scalable strategies required to analyze large datasets of dynamic complexes imaged by modern high-throughput workflows for in-situ cellular tomography.
Development will be carried out within our open-source web-based platform, nextPYP (Liu et al, Nat Meth, 2023), and be tightly integrated with other methods recently developed in the lab, such as MiLoPYP (Huang et al., Nat Meth, 2024).
The Bartesaghi Lab has members spanning across Duke’s Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning, software engineering, and the life sciences.
The group has access to Duke’s TEM facility and dedicated computational resources that are supported and maintained by Duke University's Research Computing unit. This support includes access to a Titan Krios and Tundra TEMs, fast network interconnects, all-flash network storage, high core density CPU servers, and AI-optimized GPUs.
The position is for 2-4 years depending on the candidate’s interests and experience.
Requirements: Ideal candidates should hold a PhD in the area of data science, computer science, bioinformatics, structural biology, or a related area, and have experience in image analysis, machine learning and/or scientific computing.
Informal inquiries should be addressed directly to alberto.bartesaghi@duke.edu.
How to Apply: Submit a CV, brief statement of research experience and interests, and the name of two or three references.
Bartesaghi Lab: http://cryoem.cs.duke.edu/
Working at Duke: https://hr.duke.edu/careers/about-duke
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Application Materials Required:
Submit the following items online at this website to complete your application:
- Curriculum Vitae
- Brief Statement of Research Experience/Interests
- Two to three references (no actual letters, just names and email addresses
)
And anything else requested in the position description.
Further Info: