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basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets
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, including how DNAme potentially drives trait variation and how it responds to the environment. We will use machine learning tools to perform high-throughput phenotyping of birch leaves – specifically stomatal
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and verbal communication skills, independence, and creativity are required, alongside the ability to conceive, execute, and complete research projects. The postdoc will work as part of a collaborative
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, alongside the ability to conceive, execute, and complete research projects. The postdoc will work as part of a collaborative team at the Centre, and strong communication and interpersonal skills are essential
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to state-of-the-art resources and excellent support to further learning and professional development The University of Helsinki offers comprehensive services to its employees, including occupational health
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance