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investigate whether neutrophils can be targeted to enhance immunotherapy efficacy. Current research on neutrophil function in cancer relies heavily on mouse models, which may not accurately reflect human
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-Doctoral Associate (PDA) to engage in cutting-edge research on channel modeling and characterization for communication and sensing in emerging spectrum for 6G and beyond, with a focus on the FR3, THz and
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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
will work Christopher Knittel (Sloan School of Management and CEEPR). The project will develop empirical models of supply, demand, and international trade conditions for minerals required for the energy
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approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending
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performance. Microbial community analysis. Modelling of the anaerobic digestion process. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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consultation model for patients with palliative care needs. Key Tasks and Responsibilities The successful candidate will be expected to: a) Refine the study protocol, prepare interview schedules, and manage the
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University Abu Dhabi are inviting applications for a Post-Doctoral Associate to join the research group of Prof. Monica Menendez. The group focuses on monitoring, modeling, and controlling the operations
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effects of species invasions along environmental gradients and their consequences for community- and ecosystem-level responses, using native and invasive freshwater snails as a model system. The project
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling