Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
-
Technology and Computer Science”, where you will have about 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and education
-
including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
-
and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we
-
, artificial intelligence (AI), machine learning, and computation have emerged as powerful digital technologies for creatively generating new design ideas and rapidly advancing formgiving methods within
-
ambitious and internationally recognized early-career researcher with a strong track record of scientific excellence to advance methodological innovation in genomics-guided artificial intelligence, aiming
-
QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and precision medicine, population genetics, and integrative genomics. QGG is located at the central campus
-
PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
-
artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
-
. The Medical Informatics and Image Analysis group focuses on digital health, predictive modeling, artificial intelligence, and medical image analysis. The group develops and evaluates clinically meaningful