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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
Medical School Department of Molecular, Cell and Cancer Biology 364 Plantation Street, LRB Room 619 Worcester, MA 01605 Further details about the Wolfe laboratory can be found at: https://www.umassmed.edu
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, green solvents (e.g. DES), microalgae, or biomass processing. • Experience with chromatographic and spectroscopic techniques. • Experience in cell culture, in vitro digestion models, or bioactivity assays
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Cell BiologyCountryPortugalState/ProvincePortoCityPortoPostal Code4200-135StreetRua Alfredo Allen, 208Geofield Contact State/Province Portugal City Porto Website https://www.ibmc.up.pt/ Street Rua
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the field of computational morphodynamics in plants. The work will be within the BBSRC-funded project "Tipping the balance: utilising hormonal crosstalk to control stem cell plasticity", with the aim
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molecular tools. For example, single cell in flow measurements of optoacoustic signals. The job In flow probing of absorption profiles of medically relevant cell types is a critical diagnostic asset. Our
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to in Article 30(5) of the LTFP, and from the procedure for recruiting workers undergoing retraining, referred to in Article 265 of the LTFP. I – Job Description Scientific Area(s): Cell Biology
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primarily to Task 5 of the project, focused on functional validation in cancer cell models. The researcher will define and implement relevant cellular models in collaboration with the partner institution i3S
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of pathological protein aggregation Quantification of α-synuclein pathology Participation in single-cell RNA-seq and proteomic experiments Data analysis, figure preparation, and manuscript drafting Presentation
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dedicated to elucidating the cellular and molecular mechanisms that establish immune tolerance to the microbiota, exploring how dysregulation of these pathways contributes to diseases and disorders in the gut
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology