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, PhD and Carlos López, PhD, the PO&B team is an interdisciplinary group that includes pathologists, oncologists, hematologists, biologists, biotechnologists and computer specialists, with strategic
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of hyperactivity. UA Institute for Computer Research” and “Smart machine learning for business modelling and analysis. Department of Software and Computing Systems.” Reference: I-PI 37-24 Funding agency: Valencia
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The successful candidate will preferably have a PhD in Physics, Chemometrics, Informatics, Chemistry, or related Engineering field and experience in the following skills: • Machine learning and data analysis based
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to extend the contract as part of other grants within the lab. The requirements for the position are: PhD degree in an area pertinent to the project, such as applied mathematics, statistics, machine learning
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plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods. • Simulations and modification of data, advanced data analysis • Carrying out
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cutting-edge machine learning techniques to air quality data from a user-centered perspective Communicate scientific results within the Department, in international conferences and write quality papers in
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science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling as well as explainable AI methods to understand disease
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work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of
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Tensorflow.- High level knowledge of fluid mechanics, machine learning and modal decomposition algorithms. - High level knowledge of data analysis algorithms in fluid mechanics. - High level knowledge
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related to modelling (e.g. integrated assessment models, stock–flow consistent models, system dynamics, input–output analysis, econometrics, machine learning, material/energy flow analysis, etc.) Motivation