1,055 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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Job description: At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international...
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setting up eclectic technology-focused research laboratories, coordinating renovations, capital purchases, equipment moves and installations, including advanced computational resources, and assisting with
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contract and fair salary: The gross salary of EUR 5,014.30 (14 times a year / as of 1 January 2026). See also salary schemes / Gross-net calculator (available only in German). Equal opportunities for all: We
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inclusive coding and computational thinking What distinguishes us as a team is good, inclusive cooperation. We are looking for ambitious people who deal with each other in a reflective and constructive way in
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to several pounds (such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and presence of carcinogenic
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financial controls are in place to manage costs, revenues, and retail sales mix. Engage in hiring, performance management, and other people processes. Plan ongoing training and skill-building programs for own
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Research Associate (Postdoc) in Animal Network Ecology § 28 Subsection 2 HmbHG Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Lab of Animal Network
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assays and integrative computational analysis to unravel the complexities of immunity in health, disease, and treatment. This work will need expert knowledge of human immunology, which you will apply
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, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing
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, transcriptomics, microbiomics, metabolomics, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying