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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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analytical and programming skills, with experience in techniques such as algorithmic auditing, explainable AI (XAI), model evaluation, or reverse engineering of predictive systems. They will be confident
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guidance. Additional responsibilities include mentoring students and contributing to a multidisciplinary research team. The full job description is available, here: https://acrobat.adobe.com/id
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maintaining or improving image quality. These advances will directly support operando studies of solid‑state batteries and porous electrodes and accelerate the development of predictive transport and
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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for predicting the reliability of high-temperature structural components. This involves working with various continuum damage mechanics models and statistical reliability models. The goal is to enhance engineering
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/ ), focused on developing computational methods to enhance how we collect, analyze and use clinical
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methodology, as well as applying it to the development of a data-driven model for climate prediction of the El-Nińo-Southern Oscillation. This project has recently been funded by the Australian Research Council
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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Description Within the ANR HEBBIAN contract, the objective is to adapt bio-inspired Hebbian learning models recently proposed by one of the partners of this ANR (Frédéric Lavigne) in order to account for data