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Field
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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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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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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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-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
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saliva, serum, dried blood spots, and fingerprints; apply these methods to clinical samples derived from King’s biobanks and collaborators; Perform statistical analyses to identify biomarkers of clinical
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candidate(s) will have knowledge and enthusiasm for waterfowl and experience with spatial and statistical models and coding to address the research objectives using modern statistical packages, open access
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advanced spatial statistical analyses related to environmental health risks (hotspot analyses, spatial regression analyses) Written or verbal proficiency in Hindi, Urdu, Bengali or another common South Asian