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machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread through a system, and using them to make
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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opportunities in our teaching facilities . At HST, you have the chance to explore your passions, connect with individuals who inspire and challenge you, and make discoveries that can transform both your life and
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designs, surveys or field/laboratory experiments is an advantage, but not a strict requirement, provided you are ready to build such competences. You work independently and in a structured way, and you are
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environments including a stay at another research team. Obtain experience with teaching or other types of dissemination related to your PhD project. Teach and disseminate your knowledge. Prepare and submit a PhD