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Field
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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manage the project to ensure the delivery of project milestones, coordinating tasks, monitoring progress, and maintaining accountability to funding and partner expectations. About you a PhD in soil or
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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for identification of targets for early detection, prevention or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing
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mentor PhD and project students. In this role you will work closely with the SEISMIC Facility, the UK’s national hub for spatially resolved single- and sub-cellular omics, and the Smart Trials Hub, which
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
ecosystem processes, in particular deadwood decomposition, in forests are altered by global change factors such as climate change, disturbances, and management-induced structural changes at different spatial
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, or related disciplines. Proven expertise in climate change adaptation, food security, and rural development. Strong background in statistical and spatial analysis tools (SPSS, MAXQDA, AMOS, LISREL, PLS, GIS
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics