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, data-driven control in high dimensions has penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows 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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of the sea, with a focus on questions related to marine protected areas About the position You will primarily work on developing and applying video-based methods for monitoring fish in protected areas and
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, REddyProc) Excellent numeric and analytical problem-solving skills, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with
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large-scale clinical, laboratory, registry, or other health-related data (experience with Nordic registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding
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registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding systems such as SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), NPU (Nomenclature
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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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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vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. The focus will be on a fuzzing approach in a Java/Android environment. Keywords
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harmful content or incorrect code. This project introduces a new idea: instead of relying on opaque, heavy machine-learning models, it learns transparent, rule-based rewriting systems that can transform