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the physical layer but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave
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build the sustainable companies and societies of the future. The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering two PhD student
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, pharmaceutical science, biochemistry and chemistry. The department is seeking an outstanding doctoral student in chemistry to participate in the Marie Sklodowska-Curie Doctoral Network MIPrecise . Field of subject
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including modelling to determine the localization, distribution, and potential on/off-target effects of ONs in vivo. The final aim is to gain know-how on how to optimize formulations for different
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look forward to receiving your application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems
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chemistry to participate in the Marie Sklodowska-Curie Doctoral Network MIPrecise . Field of subject for the position: Chemistry Location: Kalmar Term and hours: The doctoral studentship is limited in time in
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, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems. Project description This PhD project is linked
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the Wallenberg Initiative on Networks and Quantum Information. Quantum sensing is a rapidly developing quantum technology that promises unprecedented precision in measuring small parameters and detecting weak
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material