61 Education Fellowship positions at UiT The Arctic University of Norway

PhD Fellow in migration or education studies affiliated with the Changing Arctic Research School

. The fourth year is distributed as 25 % each year and will consist of teaching (10%) and other duties such as secondments and interactions with the industry or the public sector (15%). The objective

PhD Fellow in Optics – Optical Tomography

is linked to the Research Council of Norway (RCN) research project 5D-QUIP (development of a quantitative phase microscopy and tomography system), and 25% of the position is linked to teaching and

PhD Fellow in Optics – Optical Tomography

to teaching and related duties within the department.' The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD program is a prerequisite for

PhD Fellow in Tumor Biology

of Medical Biology (IMB). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and

PhD Fellow in Tumor Biology

Biology  (IMB). The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other

PhD Fellow in knowledge-driven machine learning

. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to a

PhD Fellow in knowledge-driven machine learning

year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to a PhD

PhD Fellow in Machine Learning for graphs and time series data

components and extending techniques for generating confidence intervals to spatio-temporal data by addressing the challenge of capturing both spatial and temporal dependencies. Interpretability Develop new

Phd Fellow in Novel Materials for The Built Environment

years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree

PhD Fellow in Machine Learning for graphs and time series data

for generating confidence intervals to spatio-temporal data by addressing the challenge of capturing both spatial and temporal dependencies. Interpretability Develop new techniques that allow for a human