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growth is limited, mainly due to the difficulty to accurately measure tree structure, e.g. diameter at breast height (DBH), tree height and aboveground biomass (AGB), repeatedly and objectively
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that can find both short- and long-term time dependencies without overfitting and requiring large amounts of data. The methodologies will be developed and validated on complex real-world mechatronic systems
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these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type
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with the supervising team as well as the PhD students working within the project, in the group or in the department. Good practical problem solver / Ability to find appropriate solutions to academic and
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theoretical background for MIMO related research, and have attended courses such as Information Theory, Signal and Systems, Modulation and Detection. Experience with OFDM or single carrier baseband algorithms
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with the supervising team as well as the PhD students working within the project, in the group or in the department. Good practical problem solver / Ability to find appropriate solutions to academic and
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Kooning and Prof. Kurt Stockman. The aim is to leverage our expertise on Digital Twins and machine vision to close the loop from real-time process and product quality detection to updating machine settings
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with the supervising team as well as the PhD students working within the project, in the group or in the department. Good practical problem solver / Ability to find appropriate solutions to academic and
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range of physical layer settings, which must be intelligently adjusted in real time to account for factors such as obstacle types, energy efficiency, and desired detection range. These algorithms will