Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, the University of Melbourne, and the University of California, Los Angeles. We strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position
-
of biochemistry and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se . Main responsibilities The SciLifeLab and Wallenberg National Program for Data-Driven Life
-
cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
-
part of the SciLifeLab and the research school of the Wallenberg National Program for Data-Driven Life Science (DDLS), within the research area Cell and Molecular Biology. To achieve this, the doctoral
-
studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
-
research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. The Institute
-
and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se . Main responsibilities At the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
-
Centre (DC), which is responsible for IT-related matters and research data management for SciLifeLab’s technology platforms and other SciLifeLab-organised programmes and activities, including the national
-
devote oneself to a research project under supervision of experienced researchers and following an individual study plan. A doctoral degree corresponds to four years of full-time study. This is an industry
-
requirements, please see the subject’s general study plan . The specific requirements are met by having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90