45 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions 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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related to information technology. As a Research Software Engineer at the University of Helsinki, you will get to collaborate with different research groups providing software development and consultation
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The TrueScreen Research to Business (R2B) project at the University of Helsinki is seeking a talented and highly motivated Bioinformatician / Research Software Engineer or Postdoctoral Researcher
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at the institute operate across multiple scales of biological resolution in the areas of Structural Biology, Molecular and Cell Biology, Developmental Biology, Genomics, and Evolutionary Biology. We seek an early
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Do you want to develop wellbeing within the planetary boundaries and be part of the evolving Sustainable Wellbeing Unit at the University of Helsinki? We are now looking for a SENIOR SPECIALIST IN
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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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coordinates multiple large-scale research projects and globally unique data resources, such as FinnGen , nationwide health registry data and the Finnish Twin Study and leads the molecular profiling of cancer
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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
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze