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are important components to strengthen trust, security, and resilience in the digital economy. Responsible for technologies system development/implementation, and delivery working prototypes/demo. Lead/Involved
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or eligibility to obtain an appropriate work visa. Strong organisational skills and the ability to lead and manage research activities independently while contributing effectively within collaborative research
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will develop and lead an independent programme of experimental medicine in systemic sclerosis, centered on fibroblast biology, tissue fibrosis, autoantibody-defined disease subgroups, skin and
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Short summary We are looking for a highly motivated postdoc with proven research abilities and an excellent publication record who will lead the development of the generative AI-based framework
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Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
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environment Leadership qualities and independence, while able to lead and/or work well with others in a highly collaborative, team-oriented environment Experience: Prior experience in aquatic field research and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
development and tech translation: Lead or support research in microalgae cultivation, thermal-fluid integration, sensing/controls, and/or low-carbon materials based on the Fellow’s expertise, and translate
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/09/2026 Role Description We welcome applications from passionate, creative and motivated researchers to lead the delivery of innovative microbiology research exploring how biological processes move
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, and may have lead responsibility for discrete components of a larger project under the general direction of a senior or principal researcher. Minimum Education and/or Work Experience M.D. or PhD
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matters. This postdoctoral position offers an exceptional opportunity for a highly motivated researcher to lead the hypothesis-driven discovery work of the program's omics and causal inference work streams