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Field
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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Are you excited by ecosystem modeling, climate change and polar oceans? Do you enjoy quantitative work, coding, and turning ecology into equations? We are looking for a highly motivated PhD
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development of an analytically focused criminal justice curriculum. Candidates whose work bridges criminology and advanced analytical methods (e.g., spatial analysis, social network analysis, intelligence
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. Strong interest in gene regulation dynamics, cancer research, and translation medicine Experience in computational analysis of biological data Experience with single-cell, transcriptomics, spatial biology
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molecular biology, genomics, bioinformatics, and data analysis. Participation in an innovative project focused on epigenetics and the spatial organisation of the genome. The opportunity to work with state
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
tracing, and/or cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply
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bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 days ago
aging and metabolic health Perform studies in murine models, including collection, processing, sectioning of brain tissue and anatomical analysis of hypothalamic regions Apply molecular, histological, and
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our new colleague? We are looking for a PhD candidate to build a macroeconomic model that links long‑term strategies for flood risk management to the behaviour of the financial sector and the broader
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-cell or spatial genomics, in vivo imaging, cellular/molecular immunology, or GPCR signaling. • Quantitative and data-analysis skills (e.g., R, Python) and experience with genomics or imaging pipelines