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Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by
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; GIS software; spatial analysis and visualization; programming in R, Python, or similar; quantitative data collection and analysis; scientific synthesis and writing. Experience partnering with non
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the Sandelin and Falsig Pedersen laboratories, which are closely located at University of Copenhagen. Our recent work in this area includes: Spatially resolved analysis of microenvironmental gradients in cancer
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areas: GIS software; spatial analysis and visualization; programming in R, Python, or similar; epidemiology; etiology; data communication; systems evaluation; quantitative data collection and analysis
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and to what extent is an open question. To address this, Rijkswaterstaat initiated the MONS project (https://www.rijkswaterstaat.nl/water/vaarwegenoverzicht/noordzee/onderzoeksprogramma-mons ). In
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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air quality and emissions measurement instrumentation and systems (e.g., PTR-MS, GC-MS). Strong expertise in advanced statistical, numerical, and spatial data analysis for large-scale datasets is
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Position Description Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College of Veterinary Medicine Cornell University
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spatial transcriptomics derived from rodent models or human samples. o Oversee data processing, quality control, and computational analysis to ensure high accuracy, reproducibility, and adherence to best