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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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P2S2 project aims at developing parton-shower algorithms with unprecedented (logarithmic) accuracy for jet substructure at the LHC. The project also has connections with analytic resummations and studies
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processes that could be realised in neuromorphic hardware. The research will combine theoretical derivation and simulation-based validation, using mathematical modelling, algorithmic experimentation, and
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu ) at The Ohio State University (OSU) is currently seeking applicants
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review. You will possess master level quality, accuracy, speed and knowledge for your assigned specialist area and execute reflex testing algorithms. Work schedule: 100% FTE, Fixed Duration Appointment
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algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections
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descriptions for use by programmers and business analysts to develop technical solutions. Assist with the development/change of data input, files/database structures, data transformation, algorithms, and data
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challenging real-world problems drive the methodology research agenda, whilst providing a natural route to exploiting new algorithms and methods. We believe this deeply multidisciplinary approach is one
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guaranteed. Given the real-time nature of these large complex infrastructures, machine learning techniques can complement more deterministic algorithms to guarantee a reliable operation of the system