13 parallel-computing-numerical-methods positions at Blekinge Institute of Technology
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
and Product Development, where multiple externally funded research projects are conducted in parallel in close collaboration with industry, public authorities, and international partners.The successful
-
. The department is BTH's largest department, with 70 people. The research at the department is conducted in the area of computer science. This includes the subareas of big data and AI, parallel computer systems
-
conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
-
. The department is BTH's largest department, with 70 people. The research at the department is conducted in the area of computer science. This includes the subareas of big data and AI, parallel computer systems
-
24 Jun 2026 Job Information Organisation/Company Blekinge Institute of Technology Department Department of Software Engineering Research Field Computer science » Other Researcher Profile Recognised
-
studies using qualitative, quantitative, and mixed-methods approaches, including surveys, interviews, observations, social network analysis, and analysis of digital trace data. Collaborating with industry
-
24 Jun 2026 Job Information Organisation/Company Blekinge Institute of Technology Department Department of Software Engineering Research Field Computer science » Other Researcher Profile First Stage
-
architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and lifecycle management. At the same time, the project
-
RE methods are not equipped to defend against, requiring new approaches for requirements provenance, stakeholder trust modeling, and continuous validation. This project delves into the security and
-
qualitative and/or quantitative research methods. Experience with surveys, interviews, and/or statistical analysis. Proficiency in written and oral communication in English. Experience of collaboration with