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in their decisions and businesses in their strategies. To address the urgent societal need for science-based management recommendations for forests under increasing pressure, and to leverage
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in their decisions and businesses in their strategies. To address the urgent societal need for science-based management recommendations for forests under increasing pressure, and to leverage
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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their choices, public authorities in their decisions and businesses in their strategies. To address the urgent societal need for science-based management recommendations for forests under increasing pressure, and
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collaboration with national and international partners. The PhD candidate will be supported through a FNRS-Televie funded project focusing on the crosstalk between m6A RNA methylation pathway and metabolic/lipid
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on photonic interference, which will unlock the full scalability potential of our platform. Overall, this PhD thesis project will initiate disruptive breakthroughs towards scalable quantum technologies based
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spin-photon entanglement. With this milestone demonstration, we strive to kickstart subsequent developments towards a quantum internet architecture. The objective of this PhD thesis is to demonstrate
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, or multi-physics simulation. Experience and skills · Ideally 3–5 years of experience (including PhD) in one or more of the following: o Finite Element Modelling (FEM), o Multiphysics
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model the plastic deformation of solid solutions of tungsten carbide in a cobalt binder under nanoindentation, including MD-based hardness predictions and defect analyses, to gain fundamental insights