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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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Number 101226997 Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training
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access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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a shared biosolutions agenda. Translate complex scientific work into clear value propositions and innovation narratives that create alignment internally and resonate externally with industry
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with behavioural economics findings for holistic socio-economic evaluations. Translate complex results into clear insights, risk assessments, and decision support for R&D, policy, and commercialization
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to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring
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, mentoring, research dissemination, networking, manuscript drafting etc. Engagement in cutting-edge research in an emerging area of metabolism, with high potential for discovery and future applications
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European networks, participating in concept and project development, and in proposal writing. You will need to understand and respond to new trends in the funding and policy landscape, in order to best
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motivated to develop new concepts for direct air capture and to engage actively in both research and teaching activities. Experience with organizing symposiums, workshops, and networking activities will be