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LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our understanding of vegetation
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experiments, data analysis, and animal colony management. Beyond technical support, the successful candidate will be an essential part of daily lab functionality and will be mentored to design and lead
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are also required: at least one course in Programming at least one 2nd cycle course in one of: Stochastic processes, Machine learning, Time-series analysis, Spatial statistics, Spectral analysis
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sequencing and spatial transcriptomic data analysis* Strong track record of research as evidenced by publications in referred journals* Strong written and oral communication skills as evidenced by data
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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal
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Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
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are looking for a PhD Student in aerosol science Your tasks Scientific research on the spatial distribution air pollutants in Romania using a mobile laboratory Perform measurements within the Romanian-Swiss
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analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g