Sort by
Refine Your Search
-
divided equally between research within the Digital Waters (DIWA) Flagship and teaching and programme development within the Space Technology and Environmental Remote Sensing degree programme. The
-
) COFUND programme and the University of Turku. It is located within the University’s Turku Institute for Advanced Studies (TIAS), a research collegium which supports the bottom-up development of excellent
-
of Medicine and Health Technology, Tampere University. MAT develops mechanistic approaches for chemical safety assessment, contributing to the shift from animal-based toxicology toward Next-Generation Risk
-
final decisions on the successful applicants. Benefits TIAS is a research collegium which supports the bottom-up development of excellent early- and mid- career stage academics through the provision
-
spectrometry-based proteomics to understand how proteins, their interactions, and their modifications drive disease and drug response, and we develop the methods to address these questions across basic, clinical
-
research. Its focus areas are technology, health, and society. The university regards the competence of staff as its most important strategic asset and supports its development. For further information
-
research environment and excellent opportunities for researchers to develop their careers in an international and interdisciplinary setting. More information about MePhiS is available at: www.helsinki.fi
-
candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data
-
associated with ageing. The successful candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI
-
candidate is expected to develop an independent research programme within this broad scope, focusing on methodological innovation and the application of modern AI approaches to large-scale biomedical data