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23 Apr 2026 Job Information Organisation/Company Evidencio Research Field Medical sciences » Cancer research Computer science » Digital systems Engineering » Biomedical engineering Computer
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Start Date: October 2026 Application deadline: 30th April 2026 Introduction: Warm cumulus clouds have been observed to yield precipitation as soon as 30 minutes after their formation. Formation
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increasingly important for autonomy, navigation, inspection, and situational awareness across defence and other safety-critical applications. Yet many real-world deployments cannot depend on cloud computing
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-09964 Is the Job related to staff position within a Research Infrastructure? No Offer Description This Phd position will be in
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Do you want to help develop the next generation of safe and intelligent machines? We are now looking for a PhD student in semantic and goal-oriented communications with focus on cloud-assisted
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Tsendbazar (land cover validation), Dr. Johannes Reiche (near-real-time monitoring), and Prof. Dr. Sytze de Bruin (spatial statistics). This PhD programme is also a part of PE&RC, a collaborative research and
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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
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attachments, please see our application guide https://joint-research-centre.ec.europa.eu/collaborate-us/collaborative-doctoral-partnership-cdp-programme/cdp-programme-phd-candidates_en Where to apply Website
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scientific datasets. Integrate cloud platforms, high-performance computing resources, and collaborate with infrastructure teams employing MLOps tools for scalable experimentation and deployment. Document and
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative