83 Master positions at UiT The Arctic University of Norway in Norway

PhD Fellow in Computational Geometry and Simulations

for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD

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

panel of these proteins reflected future CVD risk, as determined by a clinical risk score. In this project, we will analyse a replication cohort, to verify the associations identified in the original

PhD Fellow in Computational Geometry and Simulations

for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD

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

cohort, to verify the associations identified in the original analysis. Relationships between biomarker levels and existing risk scores, and future CVD development will be investigated. Interesting

PhD Fellow in Tumor Biology

therefore needs to be delicately balanced between tolerance to food and activation towards unwanted intruders. The common belief is that our intestines are the main drivers of building tolerance towards

PhD Fellow in Tumor Biology

to be delicately balanced between tolerance to food and activation towards unwanted intruders. The common belief is that our intestines are the main drivers of building tolerance towards ingested

PhD Fellow in knowledge-driven machine learning

and a strong documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's

PhD Fellow in knowledge-driven machine learning

documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's degree in physics

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