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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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studies and metabolic phenotyping (holding a FELASA-certification or equivalent is an advantage) Ability to manage and analyze complex data sets An intellectually curious and critical thinking mindset with
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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 programme, please see DTU's rules
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degree is subject 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
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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regarding interventions on sustainable diets. This PhD project bridges evidence synthesis and RBA of sustainable diets for public-health advice. RBAs rely on data provided by systematic reviews reporting
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procedure To apply, please read the full job advertisement by clicking the Apply button above. Application deadline: 7 October 2025 Further information Further information may be obtained from Yang Zhang
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developing novel quantum photonic devices. Such quantum devices are central for quantum information networks, quantum computation, and quantum cryptography systems, and lie at the basis of a forthcoming
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solid-state sources of single indistinguishable photons for photonic quantum information technology. Single-photon sources play an important role in photonic quantum information applications, which
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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