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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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wireless infrastructure Network security platforms (firewalls, VPNs, segmentation) Data centre and cloud connectivity You will be trusted to: Validate and challenge designs before they go live Lead complex
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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understanding of data evaluation, modeling, and interpretation of complex datasets Ability to work independently as well as collaboratively in an interdisciplinary and international research environment Very good
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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arithmetic complexity. Topics may include Arakelov geometry, birational and Calabi–Yau geometry, analytic torsion, and related height-theoretic or intersection-theoretic ideas. More details on the project
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system performance, analyze logs, and perform complex troubleshooting and root cause analysis for hardware, software, and network issues. Implement and maintain robust security measures, including host
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security alerts; follow established protocols to remediate common vulnerabilities. End-User Assistance: Provide Tier 1 technical support for faculty and staff, escalating complex issues to senior
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protocols such as HTTP, SSL, SSH, JMS, JDBC, REST API, etc. Open source technologies such as Dockers, KVM, and Python Version control systems such as GitHub Typical Activities: Build and release management
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complex decisions independently, and committed to advancing health equity through community-based engagement and education. Key Responsibilities Coordinate, develop, implement, and train internal and