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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Statistical Mechanics of Noisy Quantum Devices Programmable digital quantum devices are redefining our understanding
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
centre with a focus on applied artificial intelligence (AI) in the maritime sector. The maritime industry is adopting AI technologies. The next decade will bring extensive digitization of operational data
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base. The Department of Energy and Process Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307684/phd
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the application and the required documents in digital form via the website provided below. If any recommendation letters are required, the applicant is responsible to ensure that they are properly delivered
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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throughout the Ph.D. project. In addition to exciting tasks and the collaborative working atmosphere at Jülich, we have a lot more to offer: https://www.fz-juelich.de/en/careers/julich-as-an-employer/benefits
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program. Synthetic digital polymers represent a valuable alternative to natural macromolecules like DNA for data storage at the molecular scale, especially thanks to a higher versatility and coding capacity
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Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will work on the "TWIN-X: Multimodal Digital TWINs with
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23 Jun 2026 Job Information Organisation/Company ULB Department Transfers, Interfaces & Processes (TIPs) (https://tips-ulb.be/) Research Field Engineering Technology Physics Researcher Profile First
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in the field of Portuguese Literature, in line with the Centre’s current research priorities (https://www.uc.pt/fluc/clp/ ). The successful candidate will carry out autonomous and collaborative