6 postdoc-machine-learning Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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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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the PI or another team member per year. Organise and participate in the international conference and contribute to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload
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to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants