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description] RESPONSIBILITIES: To design and conduct experiments involving adeno-associated virus (AAV) vector production, characterization, and applications. Must be able to communicate effectively with
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Position Title: Postdoctoral Research Associate – Plant Virology & Insect Vectors Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Olmedo‑Velarde Lab
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We are looking for a Postdoctoral Scientist with experience in epidemiological and/or population modelling to join our team. You will develop recommendations for sustainable vector and vector-borne
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working in the development of gene therapy strategies for neurological paediatric rare diseases using AAV vectors, animal models and iPSC-derived neurons from patients, with the aim to arrive to clinical
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to enable the ability to identify and interpret sound information received by the ears. Regarding our gene therapy approaches, we seek to develop novel viral vector technology to create novel therapeutic
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Full-Time, Fixed-term appointment for 18 months Based in Liverpool with occasional international travel We are seeking a Postdoctoral Research Associate (PDRA) to join the MalariaGEN Vector Team
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 7 days ago
recently established that towering behavior is a mechanism for collective dispersal in Caenorhabditis nematodes. We also identified natural dispersal vectors for nematode species in our field sites
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multi-photon), viral vectors, protein engineering, mouse models, and multi-omics analyses. For further information on the lab, please visit: www.shigroup.org We welcome applications from postdoctoral
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, we can rely on a Vector Field Learning approach such as DeepFlux (Xu et al., 2021) and reformulate it in a context of Flow Matching. The idea is to generate a dense direction field where each vector