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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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imaging, to develop new approaches for understanding how animals perceive and respond to complex environments. Modern zoos must balance animal welfare and natural behaviour with husbandry practice, visitor
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optical techniques fail. At low void fractions, in the homogeneous and dilute regimes, techniques such as laser Doppler anemometry, hot-film anemometry, particle image velocimetry, particle tracking
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novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging, and clinical
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(University College Dublin) and Prof. Leo de Vreede (TU Delft). This position directly connects to DISRUPT’s planned work on efficient ML-based DPD, accelerator architecture, silicon tape-out, and prototype
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cancer prevention and improved survivorship. The project advances a paradigm shift: transport is no longer a source of negative impacts – such as safety issues and adverse health effects, but rather a
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code
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analyze imaging (DHM) and sequencing datasets (RNA-seq, Ribo-seq where relevant; nanopore long-read). • Perform computational analysis: differential expression, splicing, RNA processing and modification
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, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200+ academic staff. Eindhoven University of Technology is an open and inclusive
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a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles-enabling rapid, transparent, and reproducible design of advanced electrocatalysts. Main