Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Control of Continuum Surgical Robots. This task focuses on advanced sensing, perception, and intelligent control of continuum surgical robotic systems. Responsibilities include: Integration of different
-
pursues the formalisation of computing in an open access, universal repository. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable
-
of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (in Danish) Where to apply Website https
-
QTLomics as part of the project. Main responsibilities Collect and standardise functional information, including QTL data, RNA-seq, and Gene Ontology (GO) annotations Develop computational pipelines for QTL
-
Materials, Biomechanical Systems, Human-centric and Intelligent Manufacturing for a Sustainable and Resilient society hosted by the Department of Mechanical and Production Engineering Responsibilities
-
institutions involved in the project. supporting pilot testing, evaluation activities, user feedback collection, and continuous improvement of the AI enabled mentoring environment. preparing and organizing
-
hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
-
at the interface of modelling, system design, and control engineering, contributing to the development of the next generation of intelligent, energy-efficient hydraulic systems. The position is offered in
-
Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
These positions will play a key role in shaping the computational and experimental pillars of our closed-loop discovery platforms that integrates artificial intelligence, physics-based modelling
-
firms adopt and integrate artificial intelligence, and what changes for the people, capabilities, and routines inside those firms, across two very different institutional contexts: China and Denmark. The