7 condition-monitoring-machine-learning Postdoctoral positions at Linköping University
Sort by
Refine Your Search
-
application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
-
application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
-
application! Work assignments You will work on fault diagnosis with a focus on mechanical anomalies through monitoring of dynamic behavior. The focus of the research is on fault diagnosis of mechanical failures
-
bioelectronic technologies. Our goal is to revolutionize plant science by creating tools that monitor and influence plant physiology, paving the way for innovative agricultural applications. What You’ll Do
-
microcircuits in control of appetitive behaviors, such as self-administration of alcohol or optogenetic self-stimulation, under conditions of negative consequences. The successful applicant will carry out
-
cell reactors. A post-doc takes an active part in shaping and correcting the research direction together with the supervisors. Various tasks assigned to the post-doc include continuous learning and
-
, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment