33 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" research jobs at UNIVERSITY OF HELSINKI
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metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
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this project we will develop novel models for estimating the correctness of genome and metagenome assembly and algorithms and data structures for computing such correctness estimates. The Doctoral Researcher is
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air quality modelling. The project is funded by the Jane and Aatos Erkko Foundation. Research tasks include Developing future emission scenarios for various urban environments; Updating and applying
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, automated reaction mechanism generators, and high-resolution local scale air quality modelling. The project is funded by the Jane and Aatos Erkko Foundation. Research tasks include Developing future emission
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in the heart of Helsinki. The researcher will develop their expertise in the field of textual studies of the Hebrew Bible / Old Testament. Requirements for the position and assessment of qualifications
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support strategic focus on the use of AI in social research. This includes, for instance, supporting the development of AI strategies for qualitative analysis. RESPONSIBILITIES The candidate is expected
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social research. This includes, for instance, supporting the development of AI strategies for qualitative analysis. RESPONSIBILITIES The candidate is expected to carry out their own research within
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inspiring, creative teamwork in a modern, research-oriented institution in the heart of Helsinki. The researcher will develop their expertise in the field of textual studies of the Hebrew Bible / Old
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. The position is filled with a 6 month probationary period. This appointment is part of a project funded by the Alfred Kordelin Foundation's Major Cultural Project Grant, focusing on the development of novel deep
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-motivated doctoral researcher to join our interdisciplinary team. Project overview We develop and apply advanced machine models to analyze health data from national databases in Europe. Utilizing