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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar with the Center for Spatial Studies and Data Science in the Geography Department (JPF02931) Postdoctoral Scholar with
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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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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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, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and
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for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology, and spatial ecology. Evidence of ability to work collaboratively as well as independently
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data and spatial-omics data collected from state-of-the-art microfluidic lymph node on-a-chip systems. The postdoc will be co-mentored by an interdisciplinary team of biologists and mathematicians
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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
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-seq, ATAC-seq, spatial transcriptomics, …) into modeling and develop efficient data/training pipelines Drive application cases with Helmholtz Munich, MDC Berlin, and NVIDIA—for example, disease modeling
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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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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