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⸻ Preferred / Additional Experience Experience in one or more of the following areas will be considered a strong asset: • Flow cytometry (FACS) • RNA-seq / DNA-seq workflows • Single-cell omics • Spatial
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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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proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques. Additionally, the postdoctoral researcher will contribute to transforming mining liabilities into valuable
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analyses of public and confidential datasets relevant to the funded projects. Responsibilities include applying causal inference, spatial econometric, and multilevel modeling techniques to examine the
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Organisation Job description Project description The PhD researcher will work in the project “Joint physical custody and parents’ spatial (im)mobility”, supervised by Roselinde van der Wiel (daily
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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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of research and academic teaching, contributing to a vibrant environment of research groups focusing on ethnography, materiality, urban/spatial studies, and multimodal/audiovisual research established
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metastases. spaXio combines cutting-edge methods like spatial multi-omics, 3D tumoroid models, and AI-powered data analysis to uncover how metastatic niches form and how they might be targeted therapeutically