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increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working on robust methods for statistical learning
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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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is linked to the ELLIIT project New Machine-Learning Methods for High-Dimensional, Population-Scale Health Data , conducted in collaboration with Lund University. The project aims to develop and apply
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is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university
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the ability to communicate in English, both orally and in writing. Basic knowledge of spoken and written Swedish is an advantage, or a willingness to learn Swedish in parallel with your assignment
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a structured, quality-conscious manner The flexibility to work independently, with self-initiative, as well as collaboratively Ability and eagerness to learn new methods and a strong interest in
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to work independently, with self-initiative, as well as collaboratively Ability and eagerness to learn new methods and a strong interest in developing both computational and analytical skills Desirable
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learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/en/organisation/liu/ida/stima The project will be carried out in a