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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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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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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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research design. Additionally, previous research experience or demonstrated interest in either time psychology or environmental psychology are advantageous. Earlier involvement in experiments using Virtual
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considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
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an advantage skills in electronics, e.g., RF electronics, MRI coil design, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D
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experience of working with natural experiments. Skills and interests in eDNA methods and/or microscopy are seen as beneficial. Demonstrated skills to design and establish field measurements. Understanding
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our new virtual campus experience: https://virtualtour.aalto.fi/ About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic
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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