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of the phenomenon in 1875, several hypotheses have been proposed about the mechanistic origin of hydrogen embrittlement (HE). Atomistic modelling can play a crucial role in verifying, characterizing
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-cell omics approaches (scRNA-seq, scATAC-seq, scCUT&Tag) to identify and characterize novel molecular mechanisms driving neurodegeneration in Alzheimer’s Disease. He/she will integrate the single-cell
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approaches and in vivo leukemia models. Activity-based probes will also be used to characterize NC-CASP8, its molecular partners and its regulation. Where to apply E-mail [email protected]
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-dependent transport measurements, electrochemical methods (cyclic voltammetry, EIS, chronoamperometry), spin-polarized or magnetic-field-modulated electrochemistry, and characterization by AFM, XPS, QCM/QCM-D
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage The Institute for a
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-IMPACT ( TURBOmachinery Innovative Manufacturing, Processing, Analysis, Characterization, and Topology; Website: https://cordis.europa.eu/project/id/101311350 ). The TURBO-IMPACT project, funded by
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expected to develop research questions, design experimental approaches, and execute synthesis and characterization of organic and inorganic compounds within the context of the project. You will report on
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multidimensional characterization of inhaled particles using portable flow cytometry. The candidate will develop the analytical and experimental approaches required to distinguish particles based
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 7 days ago
hepatic oncology, Josep M. Llovet Project: Characterization and Impact of Intratumoral and Gut Microbiome on Immunotherapy Response in Hepatocellular Carcinoma Desirable criteria: Laboratory Experience
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to characterize forests and their biodiversity. The research will focus on developing multimodal learning approaches that combine complementary forest information across data sources, spatial scales, and time. A