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research team within the CIO that performs spatial analyses of the tumor-immune microenvironment using quantitative imaging assays (see https://ciopath.dfci.harvard.edu/ for more detail). The TBL uses both
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structure prior to chromosome segregation, a topic they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling
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cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity. This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis
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the spatial precision of optogenetics with the flexibility of remote magnetic stimulation, opening new possibilities to manipulate synaptic function and network dynamics (Vitale et al., 2025, Brain; Jaudon et
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requirements for doctoral studies in each subject are specified in the relevant general syllabus, available at https://www.lusem.lu.se/research/doctoral-studies. Other requirements A proficient level of English
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articles, present results in weekly meetings and at conferences. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldEngineering
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modèles capables d'analyser les informations issues de matrices de cohérence ; ii/ l'utilisation de modèles de type « transformer » pour tenir compte des relations spatiales au sein des interférogrammes et
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Position Details Position Information Internal Posting? Posting Number SP005180P Position Title Research Associate I - Spatial Data Division/College College of Natural Resources Department Forest
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Saint Aubin Routot, Haute Normandie | France | 3 days ago
(Optical Photo-Thermal InfraRed) to measure bone chemical composition at spatial resolutions close to those of the FEM model. O-PTIR provides qualitative and quantitative information on bone quality such as
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. The ideal candidate will be able to develop a vibrant research and teaching agenda that addresses the spatial dimensions of health, with an emphasis on communicable and non-communicable diseases in relation