Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
PhD Student in Robotics and Artificial Intelligence Lulea Reference number 4646-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely
-
PhD Student in Robotics and Artificial Intelligence Lulea Reference number 4647-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely
-
PhD Student in Robotics and Artificial Intelligence Lulea Reference number 3987-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely
-
, Position 2 on adaptive policies, and both will work jointly to integrate the two approaches into a single RL algorithm. While the work is mainly methodological and theoretically focused, our Aalto robot lab
-
excellent skills for conducting innovative science, the candidate should also be talented in implementing research results on a real robot and lead teams of students. Our Offer PhD remuneration will be
-
dynamic RHU Urology 3D consortium. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5031-CORAME0-063/Default.aspx Requirements Research Field Chemistry Education Level PhD or equivalent Research
-
, architected structures, and monolithic designs in which mechanical sensing and actuation are intrinsically integrated into the robot body. Within the research team, your main responsibilities will be: Kinematic
-
are welcome: Robotic and mechatronic system design Human–robot interaction and ergonomics Automation and robotised workplaces (industry use-cases) Field robotics and harsh-environment robotics
-
Capsule-Size Therapeutic Devices for the Gastrointestinal Tract School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Dana Damian Application Deadline: Applications
-
engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations