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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10332 Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Environment The PhD candidate
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in TU Delft, and work together with an extended and diverse consortium comprising research organizations in the Netherlands, leading international end-users spanning the chemical and energy sectors
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of inorganic, organic, and energy resources. The doctoral candidate will join a team internationally recognized for its work on advanced electrochemical processes, innovative electrochemical reactors, treated
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nuclear energy is set to play an increasingly important role in the Netherlands' energy transition, there is a growing responsibility to safely manage radioactive waste in the long term. Currently, deep
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. possibility for home office, paid lunch break - depending on working hours) International training and teaching opportunities Seal of quality for in-house advancement of women Family-friendly employer Subsidy
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industrial datasets. Evaluate and deploy modern AI technologies, including LLM-based assistants, agentic workflows and automation pipelines where appropriate. Particularly for data-readiness, make use
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Offer Description Are you excited about developing catalytic solutions for a circular chemical industry? We are looking for a motivated PhD candidate to work on converting lignin-derived feedstocks
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the world. Job Summary The Principal Researcher role provides a supportive research environment to a highly qualified recent PhD. In collaboration with BFI Deputy Director, Chad Syverson, the Principal
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization