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Field
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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difference in sustainable machine learning. Candidates should have a master’s degree in computer science, engineering physics, electrical engineering, data science, mathematics, or similar. We expect
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. The Machine Learning Group at Luleå University of Technology
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. The project involves the development of state-of-the-art machine learning techniques applied to robotic applications. The researcher will develop robotic software, collect data and design machine learning
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. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree inengineering physics, electrical engineering, machine learning, data science, computer
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physics, electrical engineering, applied mathematics, mathematical statistics, machine learning or in a similar field, or, have completed at least 240 credits in higher education, with at least 60 credits
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must: hold a Master’s (second-cycle) degree in engineering physics, computer science, electrical engineering, applied mathematics, machine learning, or in a similar field, or have completed at least 240
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in science, technology, engineering, or mathematics. Proven experience in machine learning, exemplified through published research results, is required. The selected candidate will have excellent
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relevant to both the healthcare sector and society at large. We are looking for a PhD student in Biomedical Engineering Sciences in the field of biological systems modeling and deep learning Your work
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Machine Elements at LTU with close collaboration with Royal Institute of Technology (KTH), Vattenfall AB and LKAB. There is potential for both patents and new product development for polymeric materials as