@metabolinkai.bsky.social
Reposted
Come work with us! 😎
For the fantastic SNF-ANR collaborative @metabolinkai.bsky.social project, we are looking for a computational PhD student based in Zurich. If you are excited by knowledge-based approaches to AI and metabolomics data, we want to hear from you. To apply jobs.uzh.ch/job-vacancie...
For the fantastic SNF-ANR collaborative @metabolinkai.bsky.social project, we are looking for a computational PhD student based in Zurich. If you are excited by knowledge-based approaches to AI and metabolomics data, we want to hear from you. To apply jobs.uzh.ch/job-vacancie...
UZH: PhD Position in AI for Metabolism
The Medical Knowledge and Decision Support Group at the University of Zurich is seeking an enthusiastic PhD candidate to join the MetaboLinkAI project, jointly funded by the Swiss National Science Fou...
jobs.uzh.ch
February 24, 2025 at 10:50 AM
Come work with us! 😎
For the fantastic SNF-ANR collaborative @metabolinkai.bsky.social project, we are looking for a computational PhD student based in Zurich. If you are excited by knowledge-based approaches to AI and metabolomics data, we want to hear from you. To apply jobs.uzh.ch/job-vacancie...
For the fantastic SNF-ANR collaborative @metabolinkai.bsky.social project, we are looking for a computational PhD student based in Zurich. If you are excited by knowledge-based approaches to AI and metabolomics data, we want to hear from you. To apply jobs.uzh.ch/job-vacancie...
Inria is opening three positions in the context of the ANR-SNF MetaboLinkAI project, which aspires to improve the analysis and interpretation of metabolomics data through a multidisciplinary approach that combines knowledge graphs, with artificial intelligence and machine learning techniques:
#ai #knowledgegraphs | Fabien Gandon
Inria is opening three positions in the context of the ANR-SNF MetaboLinkAI project, which aspires to improve the analysis and interpretation of metabolomics…
www.linkedin.com
March 31, 2025 at 2:08 PM
Inria is opening three positions in the context of the ANR-SNF MetaboLinkAI project, which aspires to improve the analysis and interpretation of metabolomics data through a multidisciplinary approach that combines knowledge graphs, with artificial intelligence and machine learning techniques: