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within the University and with external partners, while embedding their research expertise into the School’s activities and potentially contributing to program management. The position requires expertise
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be contributing to the BESSER project and joining Dr. Jordi Cabot’s team (20+ members
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, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will
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institution where mentoring and social mobility are embedded at the core of our strategy. This is more than a mentoring role, it is an opportunity to shape a high-visibility initiative that directly enhances
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, embedded in our He Tūtohinga Whakamātau | Charter of Understanding. Tono ināianei | Apply now Ready to apply? Submit your CV and list of publications as well as a detailed cover letter that highlights how
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immunohistochemistry, immunofluorescence and experience working with frozen and paraffin embedded tissue. Experience with designing, analyzing, and interpreting experimental data. Experience with critically reading and
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Undergraduate Coordinator, and Curriculum committee members. Consult regularly with Embedded Computing Systems concentration area faculty to discuss future upgrades to the embedded system lab platform. Consult
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embedment, microtomy, mounting and staining. Performs routine and special histology including advanced immunocytochemical and histochemical testing. Recognizes procedural, instrument and quality control
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 9 days ago
working on iron cycling within PISCES, as well as a PhD student focusing on regional impacts. The position is embedded in a dynamic, highly integrated, and international scientific environment. Where
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frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data