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The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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investigates how electricity markets must be designed, and how demand-side flexibility must be mobilised, for a power system dominated by variable renewable generation to remain reliable and affordable
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sources Design reproducible studies and evaluate models using appropriate analytical methods Build and evaluate reproducible longitudinal models and research software Write scientific articles and
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focused on: Developing gene therapy approaches for inherited retinal diseases. Designing and optimising CRISPR-based gene editing strategies, including base editing and prime editing. Generating and
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other researchers (MSc and PhD students, post-docs and project researchers), as well as with an extended network of international collaborators. Job description The selected candidate will work on the ERC
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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companies writing scientific publications in peer-reviewed journals acquiring and implementing third-party funded projects. Other responsibilities include mentoring and supervising PhD students, Bachelor’s
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you: A relevant PhD degree and preferably a completed postdoctoral period.Applicable fields: stream ecology, biogeochemistry, environmental science, environmental engineering (the last three mainly in
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goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting