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curricula focused on upskilling and reskilling employees with a focus on Artificial Intelligence and Machine Learning (AI/ML). The training will equip employees with essential skills in artificial
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supervising of exams (especially in labs and practicals) in the field of Artificial Intelligence both at Bachelor and Master level Preparation and updating of teaching materials and examination documents
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/Anders Lien 9th October 2026 Languages English English English PhD Research Fellow in fairness in artificial intelligence Apply for this job See advertisement About the position We invite applications
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-career researcher to help shape a focused and growing research programme at the interface of artificial intelligence, medical image analysis, and clinical neuro-oncology. The project is motivated by real
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university in Utah to establish an applied artificial intelligence institute, and it continues to expand programs aligned with high-demand fields. Its graduates, drawn from all backgrounds, go on to make
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”. The successful candidate has both a strong research profile in a central area of philosophy and strong connections to machine learning and artificial intelligence. Possible research fields in philosophy
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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(sensing and simulations), and artificial intelligence/machine learning. Research areas of specific interest for the 2027 Chamberlain search include (1) cosmology, (2) direct searches for dark matter, 3
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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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their discipline. *Potential disciplines include but are not limited to: philosophy, psychology, social sciences, natural sciences, computer science, artificial intelligence, engineering, aviation, business