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Field
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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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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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. 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
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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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infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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per week) PhD-Position: Machine Learning / Medical Imaging (m/f/x) (with immediate effect). This position is offered for a duration of 3 years. Join the AICARD Research Project “Transforming Cardiac
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through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations
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engagement, reciprocal interaction, and improve the quality of life of this particular group of children and their parents. As part of this project, you will design, prototype, and test interaction concepts
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or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under