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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https
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IT - Network Engineering Full Time 87165BR Job Summary UCSF Network Field Services is the department is accountable for providing physical layers one and two of OSI model assistance
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ACHILLES is a Marie Skłodowska Curie Action Doctoral Network (MSCA-DN) funded by the European Commission under the Horizon Europe framework programme. ACHILLES will train 16 Doctoral Candidates (DCs) across
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is available here: https://www.cranfield.ac.uk/about/governance-and-policies/council-and-senate with links to “Charter and Statutes” and “University Management”. You can find out more about
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prodromal cohorts and link them to clinical readouts and α-synuclein reactivity. Use cutting-edge single-cell and immune-profiling approaches, linked to clinical phenotyping, to discover early biomarkers and
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in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 PhD students at 7 universities, one research center and two companies. The project has
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for electrical machines based on custom-designed embedded hardware and edge-deployable AI models. Building upon prior work that established basic IoT connectivity and AI-based fault detection methods
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such as Vectorworks & Lightwright. Knowledge of lighting control and networking technology, including an understanding and ability to troubleshoot traditional DMX networks as well as wireless and node-based
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on landscape archaeology using Geographic Information Systems (GIS) and network analysis MAIN JOB CONTENT Framework Performance of auxiliary/partial research and development work according to the instructions
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of Finite Element Method, and FEniCS/Firedrake/Dune. Excellent communication and organisational skills. The ability to work independently and as part of a multidisciplinary and multicultural team. Networking