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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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NCIC, RMS (Records Management Systems), and CJIS-compliant databases. Proficiency in geographic information systems (GIS) software for crime mapping and spatial analysis • • Familiarity with qualitative
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of bioinformatics and computational analysis. To learn more about the Dey Lab, please visit the link below: https://www.gene.com/scientists/our-scientists/anwesha-dey The expected salary range for this position based
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of automatic recognition). Candidates should consult the DGES portal for more information at https://www.dges.gov.pt/en . All requests for automatic or level recognition made to the University of Coimbra (UC
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, and analysis of existing campus and building sites to support long-term campus development goals. Additional duties include mapping and recording site information, as well as documenting and maintaining
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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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sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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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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scenarios. The simulations will be compared to quantify the benefits of green envelopes for two types of cities in different geographical and climatic contexts. Bibliography de Munck et al. 2013, https