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on Region Västernorrland. The project takes its starting point in the ongoing green industrial transition and analyses how large-scale investments affect regional development, business dynamics and labour
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, human interventions can significantly impact the forests’ ability to contribute to greenhouse gas reductions. This position will contribute to research on disturbance processes and variability in
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these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We continuously strive to create conditions that
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activities. They signal the role we wish to play in relation to all our stakeholders. JIBS is triple crown accredited by AACSB, EQUIS and AMBA. Recent assessments of research productivity and impact rank JIBS
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to receiving your application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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. Application procedure The application should be written in English. The application should be submitted electronically as PDF files, as below. The maximum size for each file is 40 MB. CV:(Please name the
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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systems across scales, from molecular processes to ecosystems. The DDLS program aims to train the next generation of data-driven life scientists and build internationally leading computational capabilities
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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(e.g., Snakemake, Nextflow) and reproducible data processing pipelines. Knowledge of transcriptomics and alternative splicing analysis, including isoform-level quantification tools. Programming skills in