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Field
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-world deployment in ambient intelligence and clinical informatics. Publish in top-tier conferences and journals (e.g., NeurIPS, ICML, MLSys, IEEE TPAMI, JBHI). Job Requirements: Preferably PhD in Computer
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global
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Project: The project is part of the research project AI STORIES: Narrative Archetypes for Artificial Intelligence and should result in a PhD in either Digital Culture, Comparative Literature or Nordic
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) will consist of teaching and supervision in the institutes study programmes. The research fellow must take part in the Faculty’s approved PhD program and is expected to complete the project within
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/Artificial Intelligence Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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this role, you will contribute to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with
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that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love