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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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based at the Department of Science and Technology, Campus Norrköping. You will have the possibility to investigate AI-driven conversational guides and their impact on learning and engagement in public
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(and the willingness to learn more), with an interest in biological/ecological questions; Experience with programming or the willingness to learn to program (the lab relies mostly on R and C++, but
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totaling 60 ECTS credits) and join an international research team with backgrounds in sociology, political science, network science, statistics, and machine learning. More information on the PhD program can
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to acquire the necessary skills to do so. The ability to work both independently and collaboratively within a diverse research team is critical. We highly value personal qualities such as strong problem
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if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
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extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances. To learn more on working as a
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bioreactors are merited. Autonomous: Takes responsibility for own task. Structures own ways of tackling problems and pushes own processes through. Willing to learn new techniques or concepts and apply them in
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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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. The degree requirement must be met no later than at the time the employment decision is finalized, which occurs when the employment contract is signed. Furthermore, you shall be eager to learn new things and