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interdisciplinary environments. Excellent communication skills in English; proficiency in additional languages is considered an advantage. We welcome applicants with different backgrounds who are motivated to work
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Administration. The main language of research and teaching at JIBS is English. You must be fluent in both written and spoken English to be eligible for our doctoral program. Application Please submit the documents
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at the interface of basic and translational immunology • Ability to work independently and collaboratively in an international research environment • Good written and spoken English skills Please contact
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work. The ability and willingness to work with laboratory animals following the necessary training. Excellent written and spoken English communication skills. Good collaborative skills, particularly in
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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communication skills, both in written and spoken English • Willingness to attend international conferences and publish internationally Advantageous Skills: • Space propulsion knowledge with a preference for
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(written and oral). Our offer The project is planned for 3 years and will be carried out as a PhD thesis. It is supported by Empa under the supervision of Dr. Giacomo Reina. The candidate will perform
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and communication skills in English. Experience working with mice. Research experience inimmunology and molecular biology. Desirable Qualifications: Proficient in molecular biology techniques including
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qualifications and capacities: You hold an MA in Translation Studies, Literary Studies, Publishing Studies, Cultural Sociology or a comparable degree. You have a very high proficiency in English and multilingual
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable