Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or equivalent. Your
-
that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months of your employment contract start date, and that you participate
-
information, please see the PhD Regulations . Experience from data science or relevant laboratory work. Fluency in written and spoken English in agreement with the admission criteria for the PhD program. For
-
and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as
-
meet the requirements for admission to the faculty's Doctoral Programme Basic knowledge of CAD/CAM/CAE Good skills in mathematics and programming, in production engineering or product development Very
-
16 Jan 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Feb
-
science, or related field. Proficiency in scientific programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience
-
obtained through studies in engineering cybernetics, robotics, control engineering, automation, electrical engineering, marine engineering, mechanical engineering, applied mathematics, or similar engineering
-
in mathematical sciences. Your course of study must correspond to a five-year Norwegian study program with 300 credits, where 120 credits have been obtained at master's level. MSc students in
-
endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe