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T
Technical University of Denmark
Copenhagen, Denmark
(on-site)
3 days ago
C
Chongquing Medical University
Chongqing, China
(on-site)
3 days ago
H
LI
Liebniz Institute
Leibniz, Germany
(on-site)
4 days ago
Sanford Health
North Dakota, United States
(remote)
9 days ago
University of Pittsburgh Medical Center (UPMC)
Pittsburgh, Pennsylvania-Remote, United States
(remote)
9 days ago
Legend Biotech USA
United States, United States
(on-site)
14 days ago
B
H
Hôpital Fondation Adolphe de Rothschild Paris 19, France
Paris, France
(on-site)
23 days ago
Technical University of Denmark
Copenhagen, Denmark
(on-site)
Posted
3 days ago
Job Type
Postdoctoral Experiences
Job Duration
1-2 Years
Min Education
Ph.D.
Job Function
Biological
Description
Antimicrobial resistance (AMR) is a major threat to global public health, causing millions of deaths each year. We are seeking a postdoctoral researcher to develop machine learning and generative modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments.
Application deadline: May 21, 2026
Program begins summer 2026
https://www.nature.com/naturecareers/job/12856887/postdoc-in-machine-learning-for-combating-antimicrobial-resistance/
Job ID: 83109298
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