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Job Description If you are driven by big questions about species extinction and want to build tools that make genomics more accurate and accessible, this PhD offers a unique opportunity. You will
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models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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challenges in the sector, such as the green transition, mobility for all user groups, congestion and challenged land use particularly in large cities; equity, safety, and risk; and derived negative
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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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to the EUROfusion roadmap. Experimental validation will be supported through DTU’s NORTH tokamak and large-scale European facilities like TCV and MAST-U. Responsibilities and qualifications
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study
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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas
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work in close collaboration with a large, interdisciplinary team of quantum scientists, engineers, and biomedical researchers. Your key responsibilities will be to: Conduct research that will bridge
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predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real