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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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consortium, 23 partners across Europe, aims to unlock the hidden potential of global metagenomic sequence space using a combination of synthetic biology, machine learning (ML), and ultrahigh-throughput
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synthetic biology, machine learning (ML), and ultrahigh-throughput screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability
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of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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26th October 2025 Languages English English English The Department of Engineering Cybernetics has a vacancy for a PhD position in Physics-informed Learning-based Control of systems governed by ODEs
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Technology has a vacancy for 1 PhD Research Fellow in Privacy Preserving Machine Learning. The successful candidate will be offered a 3-year position. Are you motivated to take a step towards a doctorate and
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the position A PhD position in Electromembrane Processes is available at the Membrane Laboratory at the Faculty of Science and Technology . The PhD position is for a period of 3 years. Desired start
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31st October 2025 Languages English English English The Department of Manufacturing and Civil Engineering has a vacancy for a PhD Candidate in Next Gen. Decarbonized Concrete Engineered with