Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
11th May 2025 Languages English English English The NTNU University Museum has a vacancy for a PhD Candidate in bryophyte evolutionary biology Apply for this job See advertisement This is NTNU NTNU
-
25th May 2025 Languages English English English The Department of Biology has a vacancy for A PhD Candidate in Evolutionary Ecology Apply for this job See advertisement This is NTNU NTNU is a broad
-
is seeking a highly qualified, ambitious, and motivated PhD candidate for a position in bryophyte evolutionary biology. Bryophytes (mosses, liverworts and hornworts) were the first land plants
-
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will...
-
primary focus of the project, but complementary research on parallel systems may be developed. The project will add an important evolutionary component to ongoing interdisciplinary research on Arctic
-
and evolutionary comparison software tools, making experience in bioinformatics, programming, and evolutionary comparison essential for this part of the project. Next, the candidate will verify
-
of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
-
of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
-
relevant background in algorithms and/or database systems with a research-oriented master’s thesis. Good programming skills. Good written and oral English language skills. Your education must correspond to a
-
to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research