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the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres of technology, economy and our everyday life. Machines perform comparably to, or even surpass
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redesign. Required Qualifications: • PhD in Statistics, Mathematics, or Data Science awarded by August 2026 • Ability to teach a wide variety of mathematics and statistics courses within the current
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at appointment. See the following table for the salary scale for this position https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf . A reasonable estimate for this
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College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the
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and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Experience in numerical methods for partial
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, or related background. Strong background in machine learning, computer vision, and deep learning. Knowledge of transformer architectures and foundation models. Experience with few-shot learning, self
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, neurodivergence, or a chronic condition, please contact us so we can make all necessary accommodations. Learn more about our DEI work here: https://group.springernature.com/gp/group/taking-responsibility/diversity
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of policy and to build students’ skills in applying knowledge to real-world circumstances. Candidates must have a PhD, J.D., or other terminal degree in their academic discipline to be able to teach a
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop