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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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student with a background in biological engineering, biotechnology or similar. You will work under the supervision of Assistant Professor Raphael Ferreira on large-scale genome engineering in human T cells
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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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: 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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data from large scale DTU pilots Conduct pilot-scale CO2 capture experiments up to TRL7 Perform physical-chemical analysis of innovative solvents and gases The preferred candidate should have the
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supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you
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carried out and data is generated? Then keep reading. The Natural Products Genome Mining Section at DTU Biosustain studies multiple aspects of Actinomycete bacteria, for example their genomics, molecular
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/sensor data, TPTC, LPS, LBS), development of rich VLE prototypes through creation of serious gaming scenarios using state-of-the-art technologies, and validation in large-scale realistic building and