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development processes. Modern software development increasingly relies on AI-based tools (e.g., large language models and autonomous agents) to generate, modify, and evaluate code. While these tools
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from information and coding theory, machine learning, and distributed algorithms. The project is in collaboration with Linköping University, which includes opportunity for research visits. The project is
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autonomous agents) to generate, modify, and evaluate code. While these tools significantly improve productivity, they also introduce new challenges related to: Lack of transparency in how code is generated
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. Project description This research position addresses privacy and security issues in federated and decentralized learning systems by bringing together concepts from information and coding theory, machine
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software development “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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software development “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible code by using code sharing platforms, workflow languages and
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of offers available1Company/InstituteKTH Royal Institute of TechnologyCountrySwedenCityStockholmPostal Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS
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of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral
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structures Contribute to the development of reproducible modelling workflows (e.g. coding, data handling, documentation) Produce and interpret hazard, impact, and risk maps and indicators Contribute