Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
that you gain admission to the PhD programme in Biology (PhD programme in Biology - NTNU ) within three months of your employment contract start date, and that you participate in an organized doctoral
-
admission to the PhD programme in Historical and Cultural Studies within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period
-
and inclusive community. The PhD position is funded by NTNU and is part of a collaborative energy research programme between NTNU and Massachusetts Institute of Technology (MIT). Your immediate Line
-
professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Mentor programme as a new employee at NTNU As a public employee, you
-
outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation
-
NTNU 30th April 2025 Languages English English English We are looking for a PhD Candidate in Computational Modelling of Thin-Film Magnetic Materials Apply for this job See advertisement This is NTNU
-
particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program You must have good written and oral English language skills
-
considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program (https://www.ntnu.edu/studies/phiv
-
programme as a new employee at NTNU As a public employee, you have favourable benefits as a member of the Norwegian Public Service Pension Fund (SPK) You will be employed as a PhD Candidate at NTNU and will
-
immediate leader will be associate Professor Victorien Prot. About the project This PhD position aims to increase our understanding of the mechanics of heart valve diseases using cutting-edge computational