Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
secure and efficient procedures for managing and storing large volumes of research data in various forms. We offer this opportunity in an engaging and inspiring research and educational environment with
-
Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
, development, and maintenance of robust and scalable solutions for large, collaborative research projects. This includes the ability to integrate heterogeneous data sources, support reproducible workflows, and
-
– sharing, e.g., in working with students as they learn to manage their own data. You have a high proficiency in English, are culturally sensitive, and can work in a large group of diverse colleagues and
-
experience with project management and a personal drive to lead part of a large-scale mission driven research project. At this point in your career, you are highly motivated to lead a team which advances
-
computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and
-
Data teams of NQCP. Role Description We are looking for an experienced quantum systems modelling profile to help drive our efforts in the development of digital twins of quantum devices. In this role
-
Stillingen”). Deadline for application is 16 April 2026. It is important to us that we reflect society at large, and so we call on everybody, irrespective of background, to apply. Information and queries
-
21 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Operations Management Research Field Economics Researcher Profile First Stage Researcher (R1
-
8 Apr 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Management, Society and Communication. Research Field Economics Researcher Profile First Stage
-
student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas