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Schoonjans (Pediatric Neurology Department UZA) are seeking a highly motivated PhD student to work on clinical data analyses and multi-omics approaches in the rare genetic neurodevelopmental syndrome, STXBP1
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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply
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computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information about the group can be
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, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information about the group can be found on PCOG website . For further information
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in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information
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a PhD thesis in the fields of artificial intelligence, bioinformatics, and computational biology. You will develop deep neural network models for the analysis of large-scale molecular data. You will
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; knowledge of Dutch is a plus but not mandatory. FELASA certification (B or C) is a plus, but can be obtained during the project. Having knowledge of or a strong interest in Machine Learning (ML) is a plus
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experience, preferably in Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system
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analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning approaches What we offer As
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machine learning and data analysis is a definite plus. Programming skills (Java or Python) are required. Good written and oral English skills are required and knowledge of the Dutch language is a plus. WHAT