976 evolution "https:" "https:" "https:" "https:" "https:" "ESPCI Paris PSL" "ESPCI Paris PSL" uni jobs at Nature Careers
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aims to propose a unique swarm-based counter-UAS approach enabling autonomous generation and continuous adaptation of protective swarm behaviours. We are seeking an outstanding Research and Development
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Associate) with clinical and research interest in the field of Translational Medicine (vaccine and drug development targeting pediatric infectious diseases) and HIV Medicine (clinical care, drug development
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development for all ages served. Strong ability to assess and interpret age specific data about the patient's status. Strong clinical nursing, interpersonal, and patient education skills. Proven performance in
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disease development, should be a central focus. Innovative techniques (e.g., metabolomics, single-cell or spatial metabolomics) should be applied, particularly those enabling functional analyses
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the morphological, molecular, and phylogenetic diversity of plants. Ongoing projects include the evolution of floral scent in Onagraceae, the evolution of sexual systems in Schiedea (Caryophyllaceae), and the origin
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biology techniques such as qPCR and bulk and single-cell sequencing. Our work supports the testing and development of drugs targeting novel immunological pathways. The overarching goal of our research is to
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in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. Your Role: At EIT we
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classification procedure („Schwerstverletztenartenverfahren“ (SAV)). Further development of these clinical focus areas is desirable. It is expected to strengthen the main research areas of the Faculty of Medicine
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level. Benefits We offer a competitive job support and create a dedicated research environment for you: 1.Competitive Work Support for a Focused Research Environment: Development Potential: We offer you a
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focuses on the development of a new generation of molecular memory and logic elements based on proton quantum tunneling. The aim is to advance energy-efficient memcomputing technologies that integrate