Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
flourishing research environment within financial accounting, management accounting and control, auditing, and corporate governance. Public sector organizations continuously face demands for high service
-
hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
-
, power conversion, energy and hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start
-
Autonomous Building Operation. By monitoring actual buildings, understanding their dynamic behavior through high-resolution real-life data and sophisticated thermal system modeling, you will develop actionable
-
infrastructure including compute servers and access to high-performance computing. The research climate invites for lively, open and critical discussion within and across different fields of research and a working
-
capabilities. Particular emphasis will be placed on high-speed USV operation in realistic marine conditions, where propulsion, control and sensing are strongly coupled. PhD Focus Area: Propulsion, Control and
-
scientific coding and related analyzing tools (e.g., R, Phyton, MatLab) Publications in high-ranking journals Good collaboration skills and ability to work in an interdisciplinary team within marine science
-
programme Wireless Communications; as per January 1, 2027, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact
-
programme Wireless Communications; as per January 1, 2027, or as soon as possible thereafter. In electronic engineering, Aalborg University is known worldwide for its high academic quality and societal impact
-
system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of