Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. Job description Your responsibility is the following: to design and conduct measurements for standardizing O-15 H2O measurements for myocardial perfusion imaging in PET/CT using the Hidex radiowater
-
-level processes including ecosystem function and services, community ecology, linking geodiversity and biodiversity (including GIS methodology), restoration and conservation biology, and ecological
-
researchers are recruited internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic
-
) in a relevant field, e.g. cell biology, biomedicine, biochemistry, molecular biology or biomedical imaging. The candidate should be highly motivated and committed to obtain a PhD degree, show genuine
-
months, until the end of June 2026 (end of project) The qualification requirements of the positions are stated in the University of Turku Rules of Procedure: https://www.utu.fi/en/university/organisation
-
of Turku! | University of Turku The qualification requirements for doctoral researchers are set in the University of Turku Rules of Procedure We value collegiality and promote equality, diversity, and
-
will introduce the Call, explain the applications and reviews process and answer questions. A recording/Powerpoint slides of this will be placed online. Please sign up to the information session in order
-
to the position is required to meet the eligibility requirements laid down in the University of Turku Rules of Procedure (section 31). Who can apply This position is funded by the Research Council of Finland’s
-
Business Finland. The project aims to develop energy-efficient neuromorphic computing hardware based on GCMO memristors, with applications in signal processing, AI, and autonomous systems. The positions
-
project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU