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) technique and static chambers, in combination with the novel continuous surface and subsurface measurements of 13C stable isotope and concentration to infer CH4-related processes in the peat profile
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neurons in vitro, including scRNA-seq, scATAC-seq, high-content imaging, and smFISH. Integration of multimodal single-cell and spatial data. Inference of gene regulatory networks, developmental trajectories
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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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communication and collaboration. Finnish language is not required. Other requirements: PhD degree in Physics with excellent academic track records. Experience in biological, fluid, or soft matter physics research
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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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For this challenging research, we are looking for brilliant and energetic individuals who are motivated in experimental, low-temperature quantum physics. We require the candidates to have a proven track record in