Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
-
collaboration and knowledge co-creation and analysing how knowledge is co-created across science, policy, and practice.The postdoc will join the SMARTFIELD project and become part of an interdisciplinary
-
collaboration and knowledge co-creation and analysing how knowledge is co-created across science, policy, and practice.The postdoc will join the SMARTFIELD project and become part of an interdisciplinary
-
knowledge and technologies. Currently, our department has approximately 230 employees, 70 Ph.D.-students enrolled in the Doctoral School in Medicine, Biomedical Science and Technology, and 1,900 students in
-
detection of vital signs, of adults falling, and of decline in cognitive abilities. Together with engineers from the wind turbine company Vestas, interests, the project aims to invent reliable, resilient, and
-
with a unique problem- and project-based focus, and continued education and knowledge dissemination. The candidate will be supervised by Kim Guldstrand Larsen, Jiri Srba, and Christian Schilling. Your
-
machine learning and signal processing, with preferably some knowledge of RF systems or spectrum sensing. You are confident working with experimental RF data such as baseband I/Q signals, developing and
-
condition, but also our strength. And it is a strength that ensures our research and education are recognized both nationally and internationally. Our vision is to create and apply knowledge across
-
strong knowledge in at least two of the following research directions: statistical signal processing, e.g., detection theory and estimation theory; signal compression & sparse representations, e.g