Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
learning Solid programming skills, preferably in Python and modern deep-learning frameworks such as PyTorch Experience working with large or complex datasets The applicant must be fluent in English, both
-
which mutations in nuclear lamins cause lipodystrophies and associated metabolic diseases. More about the position You will be expected to carry out wet-lab 3D genomics experiments and analyze data in
-
background (not worse than C), you may be considered if you can document that you are particularly suitable for a PhD education, for example through relevant work experience and/or peer-reviewed academic works
-
both written and oral English. Good skills in mathematics and physics with relevance to ionospheric- and plasma physics are required. Experience in analyzing large datasets using programming tools (e.g
-
doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. Your immediate leader will be the head of
-
academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works. You
-
PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
through relevant work experience and/or peer-reviewed academic works. Good oral and written presentation skills in English. The appointment is to be made in accordance with NTNUs guidelines for recruitment
-
have an equally good academic foundation. Applicants with a weaker grade background may be considered if it can be documented that they are particularly suited for PhD education Documented experience
-
to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, both in and outside academia. The Department of Electric
-
absorption in gasification of biomass. The overall approach is lab-scale experiments in combination with Computational Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated