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applicant will be expected to build an independent research group to study plant development and/or its natural variation and to collaborate on active research projects in the Department. Of particular
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opportunity to collaborate closely with both academic researchers and industry experts, with a strong emphasis on real-world applications. Working alongside a mobile network operator, you will have the chance
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the organization and follow-up of internal steering committee actions; the organization and follow-up of international strategic advisory board meeting and actions; fundraising by contributing to grant applications
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of the art and proposing innovations and various application areas. You have acquired the following technical skills Knowledge in: computer architecture, programming languages, formal methods, cyber-security
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. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications
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) developing models forecasting influenza epidemics accounting for epidemic dynamics by age groups. Successful applicants will be supervised by Prof Simon Cauchemez . They will collaborate with other members
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molecular signatures and potential therapeutic targets We are looking for a highly motivated and enthusiastic candidate with interest in neurovirology. Ideal applicants hold: A PhD in cell and molecular
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/ NiFi/ Knime, Programming in Python and SQL. Experience with version control systems (Git, CI/CD); Java/Scala is a plus. Familiarity with containerisation and orchestration like Docker and Kubernetes
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, suppliers, and industrial collaborators to tailor scale-up strategies to meet the requirements of final applications. Lead and contribute to project acquisition and proposal development by providing strategic
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming