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instance. What you will do Transform complex data science into stories that build public trust Coordinate our Critical Friend Network, ensuring diverse communities shape how NHS data serves them Create
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coursework or vocational/technical training may substitute at an equivalent rate for the required experience Job Description: Customer Service for routine and moderately complex customer network connection
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://www.linkedin.com/in/debora-abreuferreira/ ) and Joana Rodrigues (https://www.linkedin.com/in/joanaluciarodrigues/ )) Hosting institution University of Minho, Portugal (https://www.uminho.pt/EN/ ) About the network
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to the design, development, deployment, and lifecycle management of complex cellular, RF, and network infrastructure, encompassing both hardware and software-based systems. Architect, implement, and continuously
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the Job related to staff position within a Research Infrastructure? No Offer Description The CUSTOM project is a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network unites three core disciplines
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logically complex network environment of a large physical scale. Preferred 6 - 10 years of related experience. Required Past experience building and maintaining teams, including active participation in
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). The position is associated with an ERC Advanced Grant awarded to Richard Bardgett, which seeks to: (i) develop a mechanistic understanding of the factors that underpin the resistance and resilience of complex
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positive working relationships and a strong rapport with team members, stakeholders, and customers. Exceptional analytical and problem-solving skills, with the ability to identify and resolve complex network
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
experience (typically 5+ years) in delivering network services within a complex organisation. Cisco and/or Arista certifications are highly regarded. Have strong technical expertise in designing, implementing
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properties across different conditions and network types. 3. Visualising complex neural data: You will create sophisticated visualisations of high-dimensional neural network data and perturbation