50 postdoc-in-postdoc-in-automation-and-control positions at University of Nottingham
Sort by
Refine Your Search
-
A continual learning approach for robust robotic control in electric batteries assembly. This project is an exciting opportunity to undertake industrially linked research in partnership with
-
individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront of Power
-
successes and proposes intelligent sensing and control solutions for automated robotic systems capable to be tele-operated using smart human-machine interfaces. This is an exciting PhD project that has a
-
, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by-environment screen of duckweed growth under
-
-environment interactions, plant phenotyping, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by
-
(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
-
Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting
-
. This project will build upon our research and industrial successes, focusing on developing control solutions for automated robotic systems that can be teleoperated using intuitive human-machine interfaces
-
workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
-
forward-thinking company specialising in low-carbon heating and renewable energy technologies. This is an exceptional opportunity in using AI to control passive thermal enclosure system to improve