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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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proven practical experience in the implementation of machine vision systems Fluent in English, for both written and oral communication Enthusiastic team player Openness to learn the basics of plant growth
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, in close collaboration with the machine learning group at the Department of Informatics, both at University of Oslo. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 8 hours ago
We are seeking a Programme Manager to lead partnership projects within the Sussex Learning Network (SLN), supporting learners, particularly those from underrepresented backgrounds, to progress
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of the Max Planck Society for the Advancement of Science. The Department of Machine Learning and Systems Biology, headed by director Prof. Dr. Karsten Borgwardt, is seeking a Postdoctoral Research Fellow (m/f
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the workplace. In particular, the candidate will carry out his/her activity within the framework of the Machine 5.0 Project (as well as the BAYWATCH and SFDES projects, already approved by INAIL and currently in
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RAP opportunity at National Institute of Standards and Technology NIST Autonomous experimentation and machine learning of material properties Location Material Measurement Laboratory, Materials
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine