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methods and systems to overcome the limitations of today’s materials processing technologies. One particular area of interest is the design and fabrication of active structures through hybrid production
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focused on the intersection of Machine Learning and Optimization Proven expertise in surrogate modelling, specifically in designing neural architectures for emulating constrained optimization problems
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Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
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integrates state-of-the-art synthetic biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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chemical structures that interface with and actuate cellular activities, we design programmable cellular implants and devices for therapeutic applications. By integrating fundamental discoveries with
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better learning and reasoning over data. We are looking for a Postdoctoral Researcher for an initial project of 24 months (extendable depending on funds). In partnership with a leading company in the field
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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enable new routes toward fault-tolerant quantum computation and open exciting opportunities for exploring frontier problems in quantum information dynamics. The successful candidate will: Design, build
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performance across development. Possible research topics within this position include, among others, “Embodied Learning", physical activity and sport in Developmental Disorders, and the cognitive effects