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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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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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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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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
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Research Institute’s ESRC and EPSRC. The pathway is seeking to develop expertise in researching human behaviour, combining advanced quantitative and digital analytical methods, applied to data generated
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the execution of the following tasks related to modelling the incineration process of the pilot units, with the following main objectives: - development of evolving algorithms based on Machine Learning