Sort by
Refine Your Search
-
of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a
-
of Humanities and Social Sciences, Aalborg University. The project‘AIM: Can AI Solve The Mental Health Crisis? Exploring Governance, Explainability and Trust’, which is funded by the Carlsberg Foundation
-
at the Faculty of Humanities and Social Sciences, Aalborg University The project ‘AIM: Can AI Solve The Mental Health Crisis? Exploring Governance, Explainability and Trust’ The purpose of AIM is to conduct a wide
-
Danish/Scandinavian labor markets. General information It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at Doctoral School of Social Sciences and
-
degree in computer science or a closely related field such as mathematics or control engineering. Due to the project’s angle, applicants should have a strong background in at least one of the following
-
-EEG, rTMS, HD-tDCS), bio-medical techniques(e.g. linked with epigenetics and general biomarkers), as well as research based on animal models(e.g. rodents and pigs). CNAP is a dynamic and international
-
of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from
-
. Mobilizing literature in science and technology studies(STS), media studies and social anthropology, the project aims to redefine digital breakdowns as everyday “normal” occurrences rather than perpetual
-
functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with
-
Advancements in deep learning have led to a new era in speech processing, where deep learning models demonstrate exceptional performance across various tasks, such as automatic speech recognition and enhancement. The efficacy of deep learning models lies in their utilization of multiple layers,...