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interest in hydrophobic solvation due to its stunning importance for biology, catalysis and environmental science. However, it is only recently that we realized how important hydrophobicity is for
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using deep learning methods. These multi-source and multi-scale data sets will allow the creation of meta-models through ML/DL approaches (enabling the management of non-linear relationships between
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particle accelerator produces intense X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage
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characterizing natural phenomena occurring in domains as diverse as climate science, earth science, biology, fluid dynamics. A diversity of approaches is being developed including data-driven techniques, methods
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UMR de Génétique Quantitative et évolution, Le Moulon | Gif sur Yvette, le de France | France | 3 months ago
9 Mar 2024 Job Information Organisation/Company UMR de Génétique Quantitative et évolution, Le Moulon Research Field Chemistry » Biochemistry Biological sciences » Biology Researcher Profile
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project. Profile and skills required We are looking for a motivated candidate who is keen to take part in a research project focusing on conservation biology. Skills required: Strong ability to work in the