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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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research in a supportive and stimulating environment Access to state-of-the-art resources and excellent support for further learning and professional development The University of Helsinki offers
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opportunities for professional development and continuous learning extensive occupational health care a broad selection of staff training staff discount on lunch in our campus restaurants, as well as on a range
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crystallography, and quantitative biochemistry. The teams have extensive collaborative national and international networks including Biocenter Finland and the ESFRI projects Instruct, EuroBioimaging, and
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of undergraduate/postgraduate students Your benefits You will have access to the university’s staff benefits, including excellent opportunities for professional development and continuous learning extensive
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to the construction of the database, we offer an opportunity to conduct your own research on the project’s themes with an especial view to facilitating your career development. We offer the possibility to learn and
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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from
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researchers according to the guidelines set forth in the European Charter for Researchers. The university offers good support and orientation for international hires. Please learn more about the Finnish culture
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to the guidelines set forth in the European Charter for Researchers. The university offers good support and orientation for international hires. Please learn more about the Finnish culture and relocation to Finland
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volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large