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PhD: Multilingual Adaptations in Novel Language Learning Faculty: Faculty of Humanities Department: Department of Languages, Literature and Communication Hours per week: 36 to 40 Application
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-Performance Computing. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job The FoRECAST project aims to develop theory (e.g., categorical semantics and
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methodologies, implementing innovative ‘omics solutions, performing data analysis, and training computer models to characterise plant-microbiome interactions. We have strong ties to the Netherlands Plant
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language semantics and foundations; programming language implementation for high performance computing; probabilistic and differentiable algorithms for machine learning. Your research in one of these three
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: programming language semantics and foundations; programming language implementation for high performance computing; probabilistic and differentiable algorithms for machine learning. Your research in one
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: programming language semantics and foundations; programming language implementation for high performance computing; probabilistic and differentiable algorithms for machine learning. Your research in one
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construct these species-specific mechanistic network models based on both genomic comparisons and machine learning based species-specific module identification. You will integrate these network models
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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, with the following qualifications: a Master's degree in Computational Biology, Applied Mathematics, Physics, Computer Science, or a related field; enthusiasm for learning the biological background and
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. You will be working with a diverse group of stakeholders, including clinical researchers, patient representatives, cancer institutes, and others. As a PhD you will have the opportunity to acquire and