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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 27 days 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 | 27 days 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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tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
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and or pushing the performance frontier toward 30 keV. However, the FEL output critically depends on the quality of the electron bunches. Producing low-emittance beams through advanced spatial and
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“Enhancing Machine Learning Approaches for Spatially Dependent Data in Fisheries and Environmental Research” (CMAT, University of Minho), reference 2024.15617.PEX, financed by national funds through
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innovative methods for the large-scale spatial and temporal analysis of interferometric SAR data, with particular focus on monitoring surface deformation and active geomorphological processes. The objective is
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eager to explore the interface between cell wall mechanics and soil physical properties applying spatial gene regulation to understand root biomechanics. This position is ideally suited to a highly
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logistics. A key aspect of the post will be translating complex findings into clear and accessible written, visual and spatial materials, including maps, diagrams, presentations and other publication-ready
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colleagues from FBMH. Areas of current research are novel dose delivery methods (FLASH therapy and spatially fractionated), imaging (using prompt photons and proton CT), high throughput radiobiology
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of Assistant Teaching Professor in Spatial Data Science. The successful candidate will teach and advise students in Penn State’s online geospatial education programs: https://geospatial.psu.edu . This is a 36