Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
for Sottoriva Lab’s ERC Project DARC MATTER at Human Technopole. About us Human Technopole (HT) is an interdisciplinary life science research institute, created and supported by the Italian government, with
-
APPLICATION CLOSING DATE : 24.05.2024 Human Technopole (HT) is a distinguished life science research institute founded and supported by the Italian government. HT is an interdisciplinary hub
-
Regenerative Biology and Medicine encompasses interdisciplinary biological and translational fields that aims to subvert human disease, trauma and aging. Within the frame of the Chinese Institutes
-
young scholars to inquire and actively participate in this event. Contact: Miss Li Telephone: +86 24 31939638 Website: https://www.cmu.edu.cn/ Address: Human Resource Department (Main Building 1304
-
Job description APPLICATION CLOSING DATE: June 15th, 2024. Human Technopole (HT) is a distinguished life science research institute founded and supported by the Italian government. HT is an
-
APPLICATION CLOSING DATE: July 5th, 2024 About the Institute Human Technopole (HT) is an interdisciplinary life science research institute, created and supported by the Italian government, with
-
the direct jurisdiction of the Ministry of Education, and it is elected into the national ‘double first-class’ initiative. It features a balance between the Humanities and the Sciences, a solid foundation and
-
at all ranks who study the mechanisms of human diseases, including basic and translational medical research, drug discovery, biomedical engineering, public health and relevant interdisciplinary fields
-
promotion of exchanges and mutual learning among human civilizations. With over 120 years of development, Zhejiang University has evolved into a globally impactful, comprehensive research university, known
-
help to develop potential individualized therapeutic candidates for human patients. You'll have the opportunity to learn and implement different omics techniques (SN-RNAseq, Mass Spec, etc.) in big data