9 data "https:" "https:" "https:" "https:" positions at Aalborg Universitet in Denmark
Sort by
Refine Your Search
-
University's Research Portal , an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”) https://vbn.aau.dk/en/projects/linguistically
-
partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level
-
diagnostic expertise to more healthcare institutions maximize the utility of collected radiological data One of the major barriers to achieving this, is figuring out how to learn useful patterns in the
-
stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection, data analysis, and
-
ORBIT Consortium. Work duties (e.g., data collection) will take place mainly in Denmark, but may also include data collection and participation in meetings in Sweden, Norway, and Finland. The
-
environments while safeguarding both model integrity and data confidentiality. The successful candidate will develop novel frameworks that enable effective collaboration among language model-based
-
developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance. Collaborate
-
competencies We are looking for a candidate with a Master's degree in electrical engineering, computer engineering, computer science, data science, mathematical engineering, robotics, or a closely related
-
prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves . They will learn from data . They will anticipate and adapt