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anthropogenic impacts on these elements. The scale of the project will be at different levels from case study and country level to continental and global level. Work duties You will primarily devote yourself
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quantity and assessing the impact of climate and anthropogenic impacts on these elements. The scale of the project will be at different levels from case study and country level to continental and global
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics
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: Experience in tree breeding, knowledge of selection algorithms/predictive models, programming skills, experience in breeding simulation, first authorship, conference presentations, strong problem-solving
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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in English. Demonstrated knowledge and experience of social science methods Good communication skills. Ability to collaborate within the research group and with different professions in the research