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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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This post will suit a Consultant Occupational Physician with an interest in teaching and training of Occupational Medicine in a higher educational setting. As a consultant in Occupational Medicine, you will play an important role in ensuring our Postgraduate Occupational Medicine programmes...
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Type of award Studentship Value Varies - please see the CONACyT website for details. Specified use Tuition fees and/or living expenses. The University of Manchester offers a minimum of 10% discount
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by programme. Funding provider The University of Manchester Faculty of Science and Engineering Level(s) of study This funding is available to students undertaking the following types of study: Allowed
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period 3 - 4 years Continuation of award Continuation of the award is subject to satisfactory progress. Number available Varies by funding Funding provider The University of Manchester Faculty
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No. 1 scholarship grant for scientific training activities at INFN Structure of Padova for the following research topic (on the following activity): “Test of silicon sensors for the CMS experiment Outer
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: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
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restrictions This funding is available to all nationalities. Other eligibility criteria This award is available to existing postgraduate students. Applicants must hold an offer of study at The University
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Continuation of award Continuation of the award is subject to satisfactory progress. Number available Varies by programme Funding provider The University of Manchester Faculty of Biology, Medicine and Health
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No. 1 scholarship grant for scientific training activities at INFN Structure of Roma for the following research topic: “Development and FPGA Implementation of Neural and Traditional Algorithms