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or the vibrational transitions of a material, to the spatially confined electromagnetic field of an optical resonator. Most importantly, this occurs even in the dark because the coupling involves the zero-point
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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several types of spatial growth patterns which correlate with therapy efficiencies and overall survival (Vermeulen et al. J Pathol. 2001 , Nielsen et al. Mod Pathol. 2014 , Baldin et al. J Pathol Clinical
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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow cytometry, and
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
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University of California San Francisco | San Francisco, California | United States | about 21 hours ago
on digital spatial profiling of human issues and applying analytical frameworks, The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 23 hours ago
/Administrative Internal Number: 25518 RESEARCH SCIENTIST 3, CHUNG LAB, Picower Institute for Learning and Memory, is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 23 hours ago
/Administrative Internal Number: 25519 RESEARCH SCIENTIST 1, CHUNG LAB, Picower Institute for Learning and Memory, is a pivotal role responsible for generating spatial transcriptomic and proteomic optical imaging
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics