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Field
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imaging technologies, such as cryo-electron tomography (cryo-ET) and expansion microscopy, have been pivotal in advancing our understanding of the structure and function of motile cilia. In contrast
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will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further characterize forest structure. Remote sensing data, such as images, lidar, and
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like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy
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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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perforation tests—using UC3M’s two-stage light-gas gun, high-speed imaging (up to 10 million fps), photon Doppler velocimetry, and optical pyrometry. These tests will be conducted at velocities up to 5 km/s
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contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will characterize paralogue expression profiles, cellular
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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- work environment: Research Laboratory. - main mission: The goal is to design and prototype a Reciprocating Expansion Machine with a Linear Alternator (REMLA – 200W–100Hz – 10mm stroke), coupled with
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domains with advanced methods development. Various brain imaging methods are employed to describe or manipulate behaviour, including (intracranial) EEG, functional MRI, and non-invasive brain stimulation
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. Collect and analyze data from diverse sources, including plant- and soil-based sensors, images, 3D point clouds, remote sensing, environmental variables, physiological measurements, and management records