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. The project involves large-scale analysis of high-dimensional datasets, including: single-cell and single-nucleus RNA sequencing spatial transcriptomics (e.g., 10x Genomics, Xenium) germline and somatic
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, the successful applicant will analyze integral-field spectroscopy (IFS) data of starburst galaxies, with a primary focus on the spatially resolved star formation history and on the physical properties
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) government, industry, and local NGO’s. Your main contribution will be the development of a spatially explicit agent-based model of the society of the Metropolitan Region of Amsterdam, simulating circular
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English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements
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, require manual access, and offer limited spatial and temporal resolution. These methods also lack the sensitivity to detect early changes in global structural behavior. In contrast, wave-based techniques
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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and air concentrations are measured and modelled Where to apply Website https://www.academictransfer.com/en/jobs/357793/phd-candidate-on-impacts-of-nit… Requirements Specific Requirements An MSc degree
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an important entry point for data and models in the Metropolitan Region of Amsterdam. Where to apply Website https://www.academictransfer.com/en/jobs/357691/postdoc-micromacro-modelling
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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology