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Field
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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such as the regulation of artificial intelligence (AI), the regulation of online platforms, data governance, cybercrime, etc. Various topics can be proposed, including risk management, online safety
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-application/how-to-apply For each PhD topic there is a separate application link at: https://www.eu4greenfielddata.eu/phd-positions-application/list-of-phds Contacts Project leader: Sandro Bimonte (INRAE
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about DTU Electro at https://electro.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the
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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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Protection and Explosive Safety. The department is part of the TNO unit Defence, Safety & Security. This project is a follow up of our previous published work on traumatic brain injury: https://www.nature.com
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software (e.g. in security), there is an urgent need for verifying the trustworthiness of quantum programs at scale. Features of modern quantum programs such as Quantum Error Correction lead to hybrid
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at https://europass.cedefop.europa.eu/it/documents/curriculum-vitae/templa …- instructions; 3. a motivation letter, in English, highlighting the consistency between the candidate‘s profile and the chosen DC
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research areas of IRI THESys . 2. Your supervisor is an IRI THESys member. 3. Funding is secured for min. two years. You will find the list of documents needed for the application here: https://www.iri
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Department, visit https://uni-tuebingen.de/en/faculties/faculty-of-humanities/departments/department-of-history/institutes/modern-history/homepage/. The position is funded for 2,5 years. The salary will be