Sort by
Refine Your Search
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Brandenburg University of Technology Cottbus-Senftenberg •
- Luleå University of Technology
- Blekinge Institute of Technology
- Curtin University
- Erasmus MC (University Medical Center Rotterdam)
- Lulea University of Technology
- NTNU Norwegian University of Science and Technology
- Queensland University of Technology
- University of Amsterdam (UvA)
-
Field
-
building physics, especially focusing on the Arctic conditions. Project description This research explores how mining waste, such as tailings and waste rock, can be reused rather than sent to landfill
-
21 Aug 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 20 Sep 2026 - 12:00
-
10 Sep 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Sep 2026 - 12:00
-
datasets, our research focuses on developing algorithms and computational methods to detect patterns and generate insights. BDA blends a wide range of expertises, including bioinformatics, data mining, data
-
duties related to Databases, Data Mining, and Information Retrieval. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission
-
duties related to Databases, Data Mining, and Information Retrieval. Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission
-
the Norwegian mining industry to exchange knowledge and information and to develop the specific project activities. The successful candidate will become part of the newly established MIN30 initiative at the NTNU
-
. Collect, preprocess, and synthesize geotechnical data from diverse sources, including underground mining case studies, drill logs, structural mapping, and cavity monitoring (CMS) records. Develop and train
-
closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
-
and/or external study is obtained). Have an Honours or Master’s degree (or equivalent) in one of these areas: Engineering, Computer Science, Human Factors, Psychology, Data Science, Robotics, or a