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and phenotyping for sustainable crop production with the vision to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. Within
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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into their conditions of formation. The mineral phases can indeed be used to trace significant geodynamic processes, such as orogenesis, rifting or subduction. In metallic materials, the development of multiple phases is
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing
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is to investigate the optimal configuration for utility-scale AWE farms, considering the physics, economics, and environmental impact. To determine the optimal scaling strategies for kite farms, a
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buildings, smart street lighting, smart factories, healthcare, and robotics. The emerging radar sensors in use by the group employ multiple-input multiple-output (MIMO) technology and can be connected
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. students in the doctoral network, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise
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schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing. The activities within
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the other 14 Ph.D. students in the doctoral network, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and