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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
These positions will play a key role in shaping the computational and experimental pillars of our closed-loop discovery platforms that integrates artificial intelligence, physics-based modelling
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hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
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at the interface of modelling, system design, and control engineering, contributing to the development of the next generation of intelligent, energy-efficient hydraulic systems. The position is offered in
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firms adopt and integrate artificial intelligence, and what changes for the people, capabilities, and routines inside those firms, across two very different institutional contexts: China and Denmark. The
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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: https://novonordiskfonden.dk/en/news/climate-resilient-crops-novo-nordisk-foundation-and-the-wellcome-trust-award-a-grant-of-up-to-dkk-585-million-to-the-ancient-environmental-genomics-initiative
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of October 2026 or as soon as possible thereafter. Information about the project can be found at https://psychology.ku.dk/coinact/our-research/research/ Job content The PhD student will be part of a project
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rapidly digitalising society and contributes to the development of sustainable, inclusive, and pluri-/multilingual ecosystems across Europe. More information may be found on the MultiLAwa home page https
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of Copenhagen Graduate School of Social Sciences: PhD at the Faculty of Social Sciences and on the PhD website of the Department of Psychology: https://phd.ku.dk. Applicants should familiarise themselves with