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research at the highest international level and offers several high-quality educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security
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control, reinforcement learning and data‑driven control methods, adaptive methods, safe/robust learning‑based control, and methodologies for stability, safety, and performance. Application‑driven method
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Are you passionate about cybersecurity and interested in securing large-scale IoT and industrial systems that underpin critical infrastructure and everyday services, with a focus on detecting
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architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. Duties A
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act
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of Sweden and is part of the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en We are now looking for
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and friendly colleagues? Do you want an employer who invests in sustainable employeeship and offers secure, favorable working conditions? Welcome to apply for the position of Data Steward at Uppsala
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/public sector. Proven ability to secure research funding from external funding bodies through competitive grants. Collaborative skills, initiative and the ability to solve work tasks independently. Other
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods