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of GPUs and/or time in either training or inference procedures, which pose considerable challenges to both academia and industry for widespread access and deployment. In particular, the sampling process of
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addressing specific case studies or specific targeted techniques. The main tools to be used will come from the discipline of Machine Learning, particularly those based on Bayesian methods. The student will be
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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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track record of national and international research projects. We are particularly interested in candidates with experience in the use of sensory evaluation tools as well as in chemical and microbial
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international universities and organisations and a successful track record of national and international research projects. The research field focuses on factors influencing the content of vitamin-active
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Universidad Nacional Autónoma de México, Instituto de Matemáticas Position ID: UNAM -TTCVMA [#26569] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Cuernavaca
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Universidad Nacional Autónoma de México, Instituto de Matemáticas Position ID: UNAM -TTCVGA [#26561] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Cuernavaca
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Universidad Nacional Autónoma de México, Instituto de Matemáticas Position ID: UNAM -TTCVCN [#26568] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Cuernavaca
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Universidad Nacional Autónoma de México, Instituto de Matemáticas Position ID: UNAM -TTCDMXPROBA [#26529] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Mexico