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The PhD student will join a world-leading research environment at the Chalmers Security and Privacy Lab . Software is often the root cause of vulnerabilities in modern computing systems. We develop
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of vulnerabilities in modern computing systems. We develop principled concepts and mechanisms to ensure robust security and privacy for software. The PhD student will be supervised by Prof. Andrei Sabelfeld
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globally having access to large (>10,000 patients) matched multimodal data across radiology, pathology and molecular profiling and clinical data. The focus of this position is on developing methodology
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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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a multidisciplinary profile, with global relevance and specialized expertise on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct
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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it
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benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in