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issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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includes studies of epigenetic mechanisms (DNA methylation) and their role in improving the understanding of the relationship between environment and health, including advanced statistical modelling of large
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advanced statistical modelling of large datasets. Epidemiological data for the project are already available. As a doctoral student, you will have excellent opportunities to collaborate with our various
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, analytical chemistry, laboratory work and statistics are meritorious. Other important skills are the ability to work independently and take initiative, as well as being able to explore new research areas
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for coastal ecosystems. You will perform statistical analyses of time series and spatial data on ecosystems and human activities and participate in more holistic analyses of socio-ecosystems. You will also
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remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring
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an intelligent, creative, hardworking, and enthusiastic team player for this project. The PhD student is expected to participate in statistical analysis, the design, development, and implementation
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collaborations with other divisions at Linköping University, including the Division of Statistics and Machine Learning (e.g., Fredrik Lindsten and Zheng Zhao ), as well as internationally (China, Finland
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at the Department of Mathematics . Furthermore, our group maintains active collaborations with other divisions at Linköping University, including the Division of Statistics and Machine Learning (e.g