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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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, astrophysics, medical scanner, detector development, data analysis, and data science Institution: Astrocent Department of the Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences Project
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C. elegans and its natural parasites. Associated projects entail evolve-and-resequencing, quantitative trait mapping, and field sampling with spatial analyses. The selected candidate will also mentor
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, the approach provides nanoscale, spatially resolved chemical and electronic insights crucial for advancing energy technologies. By coupling SEHI with automated data acquisition and advanced digital analysis
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studies examining how particular kinds of instruction impact children’s learning. Much of our research focuses on children’s mathematical and spatial learning, and examines cognitive as well as affective
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α-syn and dopaminergic neurons in a midbrain organoid odel. Integrating aged microglia with midbrain organoids will enable analysis of phenomena that recapitulate PD pathology, including α-syn
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spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 2 months ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic