Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
-
, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
-
engineering efficient bioprocesses for high quality natural products. The group offers expertise in reactor engineering, down-stream processing and metabolic engineering to teach and develop innovative bio
-
from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning
-
academic and support staff, we teach and conduct research in the fields of art, history, language, culture and communication, using innovative methodologies and collaborating closely across disciplines. Our
-
learning, allowing rapid but rigorous system architecture definition of a launch vehicle within the MBSE collaborative environment. You will also carry out research in the field of Uncertainty Quantification
-
extensive network of clinical institutions with whom we collaborate. We are also part of the MESA+ NanoLab , and have access to world-class cleanroom facilities. To learn more about the research within
-
Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
independent researcher, but also a team player eager to share your own knowledge and experience while also learning from others. You are able to contribute your own fresh and original ideas for the advancement
-
with whom we collaborate. We are also part of the MESA+ NanoLab , and have access to world-class cleanroom facilities. To learn more about the research within the Department of Biomechanical Engineering
-
investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own