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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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(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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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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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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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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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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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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application! We are looking for a PhD student in Scientific Visualization in the scientific visualization group at the division of media and information technologies based at the Department of Science and