13 machine-learning "University of Cambridge " positions at University of A Coruña in Spain
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Explainable Machine Learning Research line / Scientific-technical services: Scalable and Explainable Machine Learning TASKS TO BE PERFORMED The purpose of this contract is the collaboration in one of the active
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). Objective: The aim of the work is the analysis and development of machine learning methods that allow the collection of information available on different public websites, related to different variables
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. • Demonstrable experience in Machine Learning, which can be evidenced through publications, courses, software projects on platforms such as GitHub, undergraduate final projects, or similar. • Demonstrable
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the project (max. 4,5 points): - Python programming language and environments (max. 1 point) - Knowledge of Deep Learning (max. 1 point) - Machine learning APIs such as Tensorflow or Keras (max. 0.75 points
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PERFORMED, REQUIREMENTS AND ASSESSMENT CRITERIA The main tasks of the hired person will be related to the following areas: 1) Analysis and design of virtual simulation environments for learning and training
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techniques based on machine learning with deep neural networks (DeepSets) using GPUs. Data and tools from the LHCb experiment will be utilized. Additionally, contributions to the data analysis of LHCb
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) the overall grade of the degree, 2) the grades of the subjects in the field of differential equations, numerical methods, hpc computer programming and mechanics of structures. The candidate's experience and
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of revisions and/or rectifications in the text and in the notes produced (or published) for Universo Cantigas. 3. Computer incorporation of new information and rectification of data already entered in
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. - Opportunity to learn and work in a multidisciplinary group, at the Interdisciplinary Center for Chemistry and Biology – CICA of the Universidade da Coruña (UDC). CICA is a research center that aims to promote
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degree. Additional Information Eligibility criteria MERIT ASSESSMENT CRITERIA - Academic record of the Degree, Bachelor's Degree or Computer Engineering: calculated in base 10, to be multiplied by 0.2