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Field
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networks Analyze and interpret multiome datasets (e.g., transcriptomics, epigenomics and related modalities) Apply advanced computational and statistical methods for integrative analysis of multi-layer
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Job Id: 11788 Limited to 3 years | Full-time with 38.5 hours/week | Salary according to TV-L E13 | Clinical Epidemiology Unit at the Institute for Epidemiology and Social Medicine We are UKM. We
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of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce versatile alumni and draw faculty and staff eager to be a part of the
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Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
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Postdoctoral Associate in Multi-omics analysis Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College
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contribute to developing new methods to advance project aims. Collect, analyse, visualise and interpret data through literature reviews, ethnographic fieldwork, network analysis and other research methods as
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sheet microscopy and data analysis, miniendoscopes application in a behaving mouse, network analysis would be a key asset; Strong interest in the brain research; Proficiency in English; Exceptional
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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their
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East London. REACH is delivered across three East London boroughs and brings together a large network of community partners alongside academic collaborators from the University of Cambridge. The Research
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE