Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
in WP4 with a concerted effort to transfer fundamental research contributions to industry-relevant applications in autonomous robotics, underwater IoT, mobile healthcare, and smart farming, boosting
-
. Additionally, the research will investigate end-to-end prediction and planning approaches that integrate radar-based perception and are trained in closed-loop, moving beyond traditional modular robotics
-
accelerate our search towards a ground-breaking soft robotic heart solution for heart failure patients worldwide. Job description The Peirlinck Lab at TU Delft is looking for a PhD-student who will work
-
the domains of clinical decision-support systems in healthcare, HRM and hiring processes, manufacturing production processes, educational robotics and AI-assisted music generation. Your role You will work
-
. Their transformative potential lies, for example, in their ability to spark megatrends that drive shifts in industries and consumer behavior. Examples include AI and robotics accelerating automation across industries
-
either Machine Learning, Robotics, Control Systems, Operations Research or in Power/Energy Systems, Electrical Engineering, etc. Demonstrated competences in one or more of these categories: AI, computer
-
context demonstrate a curiosity for developing their critical, practical, academic, and social mindsets in innovating the future of work through robotic systems. TU Delft (Delft University of Technology
-
assessment of AI systems, will be demonstrated in the domains of clinical decision-support systems in healthcare, HRM and hiring processes, manufacturing production processes, educational robotics and AI
-
solutions and thrive in multidisciplinary environments; You are part of the WUR-wide Vision and Robotics(V+R) team as a machine learning expert; You are involved in the entire project lifecycle, from
-
, educational robotics and AI-assisted music generation. Your role You will work within the Department of Operations. The AIEXPERT project involves collaboration within a consortium which includes technology