Project reference: 2204 The aim of the project is to start the development of methodologies to analyse COPERNICUS satellite data to extract low-resolution bathymetric data in shallow coastal areas where multibeam echosounder data is lacking. These satellite bathymetric extrapolations will …

Automated Extraction of Satellite BAthymetric data by Artificial Intelligence strategies Read More »

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Project reference: 2203 Neural networks (NN) and deep learning are two success stories in modern artificial intelligence. They have led to major advances in image recognition, automatic text generation, and even in self-driving cars. NNs are designed to model the …

Neural networks in chemistry – search for potential drugs for COVID-19 Read More »

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Project reference: 2202 Nuclear fusion is one of the most promising methods for generating large-scale sustainable and carbon-free energy. Since the 19th century, the rapid rise of global energy consumption and the cumulative CO2 emissions from burning fossil fuels have …

Fusion reactor materials: Computational modelling of atomic-scale damage in irradiated metal Read More »

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Project reference: 2201 Loss of heterozygosity (LOH) is an evolutionary dynamic whereby heterozygous genomes progressively lose allele diversity according to natural selection. The result are genomic blocks of loss-of-heterozygosity (LOH blocks) where multiple homozygous alleles can be found in series. …

Leveraging HPC to test quality and scalability of a genetic analysis tool Read More »

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Applications will be open in February 2022. See the Timeline for more details. PRACE Summer of HPC programme is announcing projects for 2022 for preview and comments by students. Please send questions to coordinators directly by the  mid February. Clarifications will be …

Announcing PRACE summer of HPC 2022 Read More »

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