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Field
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Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyse manually, increasing
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of the work The objectives of the PhD are threefold. First, it aims to develop a reference numerical model for the propagation of wind turbine noise in the atmosphere. This model will be based on a 3D parabolic
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to use cutting-edge tools such as single cell genomics, epigenomics, high-resolution microscopy, novel transgenic mouse models, 3D organoid in vitro models, and customized bioinformatics pipelines
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temperatures using thermography with acceptable accuracy. Evaluation of available components, design and construction of the device, and production of a 3D model. Methodology for surface temperature measurement
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I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
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(a) develop a vascularized brain-on-chip, which allows the growth of neural tissue coupled to a BBB in vasculature-like channels, (b) integrate 3D electrodes in the vascularized model and (c
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conversion of 2D surface temperature measurements into 3D temperature fields. High-fidelity FEA models will be developed to generate the necessary data for constructing a novel temperature reconstruction
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characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments will
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endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle tracking, and integrating these models into automated analysis and
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Bioanalytic and Biospectroscopy, we invite applications for: Four PhD Candidates (m/f/d) PhD Position 1 “Preclinical Models” (65%, Bioimaging Group) Ref. Number: 395_2026 PhD Position 2 “Omics-based analysis