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: Conduct cutting-edge research in gene therapy, including gene editing, the use of viral vectors, and emerging technologies such as CRISPR. Develop and validate preclinical models (in vitro and in vivo
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Level 10 Salary Range $29.95-39.10/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu/employment
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of antiparasitic drugs and emergence of resistance. Biology and ecology of infectious disease vectors and their interactions with pathogens. Start of studies in the winter semester (October) Opening of applications
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Colmar, Alsace | France | 2 months ago
research in the Vine Health and Wine Quality unit (joint research unit SVQV), within the Virology and Vector team, which studies tripartite interactions between viruses, plants, and vectors. The team
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Do you have strong programming skills? Are you able to design and implement retrieval-augmented generation (RAG) pipelines using vector databases? Are you skilled in technical AI platform
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and technical teams to implement innovative therapeutic strategies. Where to apply Website https://hospitalsantjoandedeu.talentclue.com/node/122318266/12623479 Requirements Research FieldMedical
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can function only on Cartesian grids; vector fields (flow velocities, etc.) are poorly reconstructed compared to scalar fields). Moreover, training ML methods requires oversized simulation databases
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procedures. Experience handling radioisotopes, including safe use and application of P32-labeled probes in laboratory research settings. Experience working under biosafety protocols for lentiviral vectors and
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landscape components can be studied. Overall, this PhD project will explore whether the diversity of mycophagous beetles has negative or positive impact on vine health. Are they disease vectors and inoculum
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vectors. In this project we aim to explore how different aspects of speech data are expressed in model space, in the context of automatic speech recognition and diarisation. The objective of this work is to