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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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emissions due to the large temporal and spatial variations in CH4 emission and its underlying processes. The lack of continuous observations of CH4 turnover hinders our understanding of CH4 emission
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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University of Helsinki, Department of Mathematics and Statistics Position ID: 568 -POST_MATHPHY [#26742] Position Title: Position Type: Postdoctoral Position Location: Helsinki, Southern Finland
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facilities with access to the state-of-the art technologies. Qualifications We invite applications from candidates with a solid theoretical and wet-lab background and a PhD degree in cell/molecular biology
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The department of Mathematics and Statistics at the Faculty of Science at the University of Helsinki invites applications for Postdoctoral Researcher in Mathematical Physics for a fixed term of two
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background in population genetics and you’ve been looking for a project where you can study adaptation and trait architecture in high spatial and genomic resolution? We are seeking two postdoctoral researchers
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Kim (DANDRITE) This project explores how mutations in chromatin-modifying genes disrupt early neurodevelopment by systematically profiling in vitro neurons using multimodal single-cell and spatial
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This project explores how mutations in chromatin-modifying genes disrupt early neurodevelopment by systematically profiling in vitro neurons using multimodal single-cell and spatial profiling. By
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics