29 algorithm-development-"Multiple" research jobs at UNIVERSITY OF HELSINKI in Finland
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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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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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RESEARCHER / DOCTORAL RESEARCHER We are looking for a postdoctoral researcher to work on our projects that involve multiple sclerosis and myasthenia gravis. Also, applications for a PhD student position are
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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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participate in a project which investigates and develops novel immunotherapies (cell therapies) to cancer, utilizing both mouse and human systems. Applicants should possess a PhD degree or be close to
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limited. This research project funded by research Council of Finland is focused on developing methods for statistical analysis that ecologists can use to better predict future changes in ecological
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spectroscopy with a novel, rapid chemical separation technique, Gas Ion Distillation (GID, see https://www.helsinki.fi/en/projects/gidprovis for details). The Doctoral researcher will develop a mid-IR laser
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored