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primary samples from patients. We will identify functions of ncRNAs using CRISPR interference, RNA pulldown experiments, RNA profiling, mouse models, and molecular biology techniques. This will help better
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other immunoassays, RNA interference (siRNA/shRNA knockdown), Colony formation assays, Reporter gene assays (luciferase, GFP-based assays), Basic biochemistry techniques (protein extraction, purification
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interferes with recovery from trauma. The staff psychiatrist is responsible for consultation to therapist colleagues on complex diagnostic or management issues and will support short-term disability
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interference effects and more realistic, correlated disorder models, in order to determine whether it can lead to dynamical localization in energy. The work will primarily target one-dimensional systems
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, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana State University makes accommodation for any known disability that may interfere with
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Science fellowship, based in Cambridge, MA. About Alnylam Alnylam Pharmaceuticals (Nasdaq: ALNY) has led the translation of RNA interference (RNAi) into a whole new class of innovative medicines with
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Global Scientific Communications fellowship, based in Cambridge, MA. About Alnylam Alnylam Pharmaceuticals (Nasdaq: ALNY) has led the translation of RNA interference (RNAi) into a whole new class of
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occurring viral products with internal deletions that have emerged as promising antiviral candidates due to their ability to interfere with viral replication and modulate immune responses. Although DVGs have
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
exploit this phenomenon. The IRSA protocols (Irregular Repetition Slotted ALOHA) [2,3,4] use Successive Interference Cancellation (SIC) and represent one form of grant-free technique, but they can also
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constraints such as electromagnetic interference (EMI), thermal stability, and mechanical durability. In parallel, the project will refine and optimize existing machine learning models for fault detection and