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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
the molecular mechanisms responsible for the nuanced signaling paradigms of GPCRs and how they lead to vastly different biological outcomes. Gaining atomistic insights into receptor-ligand interactions will allow
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Networks, and ICT Services & Applications. The Signal Processing and Communications (SigCom) research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and
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; developing hydrodynamical simulations of stellar interactions with massive black holes and connecting them with stellar-evolution calculations; modelling the gravitational-wave/electromagnetic signals of star
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laboratory experiment design, equipment operation, or experimental system development. Ability to independently plan, conduct, troubleshoot, and document laboratory experiments. Strong written and oral
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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
required to recover infectious avian herpesviruses from DNA transfection processes, gaining a deeper understanding of molecular virology and virus recovery methods. Quantification of Virus Infectivity and
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include coastal features such as seagrass meadows, salt marshes, and dunes, and their dynamic interactions with waves, currents, and sediment transport processes. Artificial Neural Networks for coastal
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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neurophysiological signal processing techniques. Experience with quantitative EEG analysis methodologies. Strong publication record or evidence of scientific productivity through manuscripts, abstracts