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Website https://www.academictransfer.com/en/338925/postdoc-in-machine-learning-and-rein… Contact City Amsterdam Website http://www.vu.nl/ Street De Boelelaan 1105 Postal Code 1081 HV STATUS: EXPIRED
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within a Research Infrastructure? No Offer Description In recent years, many new directions in graph machine learning have been investigated. A major problem for all graph machine learning approaches
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the microscopic to the macroscopic level. As a postdoc, you will develop a physics-informed machine learning framework to address those micromechanics modelling bottlenecks and enable high-throughput investigation
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formalizes the synergy between physics, information theory, and machine learning, particularly focusing on computing with Oscillatory Neural Networks (ONNs). Project The project aims to formalize the synergies
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. The research group hosting this candidate includes experts in simulation and machine learning methods, but it is currently lacking proficiency in Statistics and uncertainty quantification. The postdoc will be
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The goal of the project is todevelop new machine learning frameworks for high-resolution optical imaging and metrology. You will use the new methods to image complex wafer metrology targets and to
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for this development, but will work in a team of other PhD candidates, postdocs and technicians that will assist. Finally, the full 0.7-MV prototype will be developed along similar lines and with all lessons learned
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within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) seeks to hire an outstanding PhD candidate or Postdoc within the field of high-voltage pulsed power research
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Cohesion grant, a internal TUD scheme to support tenure trackers. The Postdoc will be hosted by the Intelligent Vehicles Section. The section consists of three groups (Machine Perception, Human Factors and
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political philosophy and public policy ethics, practical ethics, public administration, educational sciences, AI and digital governance, and computer science (machine learning). The postdoc will conduct both