Sort by
Refine Your Search
-
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a one-year postdoctoral position within the area of
-
circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
-
Jutland. The goal of the project is to develop a state-of-the-art digital tool for assessing and designing current and next‑generation pyrolysis plants and their interaction with CCUS and PtX systems. In
-
framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives. The postdoc will be jointly supervised by
-
within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
-
should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
-
experience with natural language processing and/or machine learning (e.g., through first/co-authored publications) Demonstrated interest in interdisciplinary research at the intersection of AI and law
-
. Danish health insurance. Start-up money for running costs (fixed amount). Travel funds for you to present your work at scientific conferences. Computer and other practical office necessities. Guidance
-
mechanisms involved when pain becomes chronic. Work in a team using electroencephalography (EEG), transcranial magnetic stimulation (TMS), TMS-EEG, transcranial electrical stimulation (tES), quantitative
-
. Computer and other practical office necessities. Guidance on re-location to Aalborg, Denmark. Who are you? You are a highly qualified and committed postdoctoral researcher who demonstrates great research