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assignments The primary focus of this PhD student position is research on generative machine learning methods for cyber security applications. The research is led by Professor Fredrik Heintz who will be
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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 (2018:585). If this applies to the specific position, a
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to work in reproductive endocrinology, supported by skilled and friendly colleagues in an international environment? Would you like an employer that is committed to sustainable employment and offers secure
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7 Nov 2025 Job Information Organisation/Company Linköpings universitet Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 27 Nov
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13 Nov 2025 Job Information Organisation/Company Linkopings universitet Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10 Dec 2025 - 12:00 (UTC) Type of Contract
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task of the doctoral student will be to conduct an independent research project under supervision. The aim of the project is to improve surgical safety and reduce the risk of anterior segment ischemia
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perceived as both rewarding and stimulating for all employees, and we continuously work to create conditions for job satisfaction, development, and participation for everyone. We care for both physical safety
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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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: https://wasp-sweden.org/ Project description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy
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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