Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
. This program offers a rare opportunity to combine methodological independence in artificial intelligence and biology with direct access to real-world clinical and translational research data, addressing global
-
and industrial partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science
-
the relevant training Is Your profile described below? Are you our future colleague? Apply now! Education · PhD degree with demonstrated theoretical and practical knowledge in Materials science and in
-
a postdoctoral scholar in computational biology. The PI, Dr. Lixing Yang is an Associate Professor at the Ben May Department for Cancer Research and the Department of Human Genetics. To learn more
-
profile A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications Good understanding of the 3GPP 5G radio access and/or
-
-throughput and AI-driven antifungal discovery fungal symbiosis an& pathogenicity fungal metabolites, epigenetics & microbiome structuring computational microbiomics & systems biology of fungal infections
-
demonstrated theoretical and practical knowledge in Materials science/Material chemistry and Li-ion battery electrochemistry. Experience and skills · Proven and mandatory hands-on experience in materials
-
demonstrated excellence and have a relevant PhD degree in chemical or materials engineering, chemistry or similar. A general interest in technology application, societal challenges, and techno economics is a
-
We are seeking applicants for a 2-year postdoc in Ultrafast X-ray probes of Quantum Materials to join us at the Department of Physics and Astronomy. Starting Date and Period The position is for 2
-
peptide, mRNA, or gene therapy development related to mitochondrial disease. Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multi‑omic