Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU Norwegian University of Science and Technology
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of Stavanger
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Nord University
- The Norwegian Polar Institute
- The Peace Research Institute Oslo (PRIO)
- VID Specialized University
- 4 more »
- « less
-
Field
-
analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE
-
Experience or competence in heterologous production of enzymes is an advantage Teaching experience is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good
-
are able to: Work independently and take initiative Work in a structured way, set goals, and make plans to achieve them Present and discuss your research with other professionals Collaborate
-
more about NICE on https://www.ntnu.edu/nice. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above
-
communication skills in English (see https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 ) Desired qualifications: Although not being strict requirements, the following qualification
-
meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
-
is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and oral English skills. Personal
-
independently and in a structured manner and demonstrate good communication- and collaborative skills. Applicants must be good in English, both in academic writing and speaking. Personal and relational qualities
-
and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as
-
for health economic evaluation will be considered an advantage. The candidate should be able to work independently and in a structured manner, while also being capable of effective collaboration with others