27 energy Fellowship positions at UiT The Arctic University of Norway

PhD Fellow in Cardiac Cell Biology affiliated with the project “MitoTransfer”

. The project/The position’s field of research The research field of this PhD position is molecular cardiac cell biology, and the work will involve 3D cardiac cell culture derived from human inducible pluripotent

PhD Fellow in cardiac cell biology affiliated with the project “MitoTransfer”

Lars Åke Andersen 14th February 2024 Languages English English English Faculty of Health Sciences PhD Fellow in cardiac cell biology affiliated with the project “MitoTransfer” Apply for this job See

Phd Fellow in Novel Materials for The Built Environment

The position PhD position is available at the Department of Building, Energy and Material Technology , Faculty of engineering science and technology  for applicants who wish to obtain the degree of Philosophy

Phd Fellow in Novel Materials for The Built Environment

8 Apr 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Building, Energy and Material Technology Research Field Engineering » Civil engineering

PhD Fellow in Machine Learning for graphs and time series data

financed by the RCN (Research Council of Norway) funded project “RELAY: Relational Deep Learning for Energy Analytics ”. The main focus of the research will be to advance the state-of-the-art of machine

PhD Fellow in Machine Learning for graphs and time series data

the RCN (Research Council of Norway) funded project “RELAY: Relational Deep Learning for Energy Analytics ”. The main focus of the research will be to advance the state-of-the-art of machine learning models

PhD Fellow in Translational Vascular Research - Plasma Biomarkers for CVD Risk Prediction

samples to laboratory based investigation of vascular cell behaviour. Part of our research group are based at Karolinska Institute/KTH Royal Institute of Technology, Stockholm, Sweden, with the opportunity

Postdoctoral Research Fellow in Machine Learning for graphs and time series data

of the fellowship period corresponding to the length of the stay abroad (minimum three months, maximum 12 months). The research will be framed within the activities of ARC - Arctic Centre for Sustainable Energy and

PhD Fellow in Translational Vascular Research - Plasma Biomarkers for CVD Risk Prediction

spanning across disciplines, from the analysis of patient samples to laboratory based investigation of vascular cell behaviour. Part of our research group are based at Karolinska Institute/KTH Royal

Postdoctoral Research Fellow in Machine Learning for graphs and time series data

months). The research will be framed within the activities of ARC - Arctic Centre for Sustainable Energy and will be carried out in collaboration with three industrial partners in Northern Norway