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Field
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might just be what you are looking for. This PhD position is embedded in the large-scale transdisciplinary project Re-Ge-NL focused on accelerating the transition to a regenerative, remunerative and
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capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem solving. Diverse research areas: Work on numerical models, analyzing large data sets
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30 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Instrumentation et de Recherche en Astrophysique Research Field Astronomy Researcher Profile First Stage Researcher (R1
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sectors for applications of artificial intelligence (AI). Precision agriculture (also named cognitive or digital) is based on “big data”, often collected via drones or satellites, to supply adequate
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large amount of data which must be previously generated, again with a cost. The fourth major pivot, which is only in its infancy, is the recognition that usage of CFD has a cost: energetical
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training through high-fidelity 3D visualization (PhD 5). The vacant research position corresponds to the abovementioned ‘PhD 1’ in the FireRisk project. More specifically, you will combine spatial data
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Engineering Trustworthy Energy Data Spaces for Heat Transition
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applicant's research interests and motivation for applying for the position. The names and contact information for two reference persons. One of these should be the main advisor from the PhD programme. CV
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: Developing automated frameworks to detect and analyze cross-platform data flows using network measurements, static and dynamic app analysis, and large-scale testing infrastructures. Studying deterministic and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, with a focus on LSF and DGS. Rather than concentrating only on the final translation model, the PhD will address the upstream components that are essential for reliable sign-to-text translation: data