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methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP methods - Sentiment Analysis, Topic Modelling, Discourse analysis), visualization methods, as
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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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starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis
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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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the importance of visual language, spatial thinking, material exploration, and conceptual development. Possess demonstrated knowledge of contemporary art theory, design principles, and the historical context of 3D
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experience in the analysis in at least one of the following domains: single cell genomics, WGS, WES, ChIP-seq, ATAC-seq, RNA-seq, spatial transcriptomics/proteomics, machine learning/deep learning models
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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to improving the reliability and performance of spatial turbo-pumps. To investigate the fundamental mechanisms of these instabilities, a simplified ABS test bench was set up at IRPHE [1]. In this setup
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) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders
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. Special priority will be given to candidates that study cellular and molecular processes using high-dimensional biological data such as single-cell or spatial omics, structural data, advanced microscopy