40 environment Fellowship scholarships at UiT The Arctic University of Norway

Phd Fellow in Novel Materials for The Built Environment

thermophysical properties.  To promote the prospects of wider application of PCMs, especially in cold environment there is a need to provide economical and high-performance phase change materials for buildings and

Phd Fellow in Novel Materials for The Built Environment

Espen Eidum 5th May 2024 Languages English English English Faculty of Engineering Science and Technology Phd Fellow in Novel Materials for The Built Environment Apply for this job See advertisement

PhD Fellow in Wind shielding & design for weather protection of outdoor working environment

Technology » Environmental technology Environmental science » Water science Researcher Profile First Stage Researcher (R1) Country Norway Application Deadline 1 Apr 2024 - 23:59 (Europe/Oslo) Type of Contract

PhD Fellow in Deep Learning and statistics for heterogeneous data

environments and ecosystems. This project will develop novel directions within multimodal deep learning which utilizes heterogeneous data to improve deep learning models for environmental monitoring

PhD Fellow in Tumor Biology

environment As many people as possible should have the opportunity to undertake organized research training. If you already hold a PhD or have equivalent competence, we will not appoint you to this position

PhD Fellow in Tumor Biology

are looking for candidates who: Have good collaboration skills Have good communication and interaction with colleagues and students Wants to contribute to a good working environment As many people as possible

PhD Fellow in Deep Learning and statistics for heterogeneous data

descriptions, location, and various seabed geophysical measures. This allows for a more comprehensive and accurate understanding of marine environments and ecosystems. This project will develop novel directions

PhD Fellow in knowledge-driven machine learning

fluency of in English and be able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma. Working knowledge of Norwegian

PhD Fellow in Machine Learning for graphs and time series data

and graph data analysis. Proficiency in Python is mandatory. Familiarity with the Linux operating system and with common programming tools and environments (Git, SSH, Anaconda, VSCode/Pycharm, etc…) is

PhD Fellow in knowledge-driven machine learning

able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma. Working knowledge of Norwegian or a Scandinavian language