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network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
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under defined pathological conditions is highly desirable. Proven expertise in preparing sequencing libraries for whole genome sequencing is considered a strong merit. Additional qualifications include
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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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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performance of software-defined networks Security and performance of 5G/6G networks SmartGrid systems and/or their security Cloud systems and their security, for example Managing and testing security for cloud
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and
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partial differential equations (PDEs) using deep kernel learning, which integrates deep neural networks into Gaussian processes constrained by PDEs. Drawing on tools from numerical analysis and reproducing
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that supports fusion research across major European experiments and ITER. The work will be performed in a collaborative, international environment, with opportunities to engage with a wide network of researchers
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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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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista