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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate fields. You will work on the project: DEEP-FLUX:Journey of low-density particles to the DEEP ocean
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of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth Sciences, Civil or Hydraulic Engineering, or other appropriate fields. You will work on the project: DEEP
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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design and evaluate immersive XR experiences that allow users to safely acquire navigation skills in realistic environments such as public transportation hubs, university campuses, and airports. You will
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, link ecological and EO data, and integrate your findings into models to predict ecosystem functioning in response to global changes and management interventions. You will learn how to publish your
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
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various domains, such as instruction and e-learning, assessment, faculty development, and evaluation or quality improvement. https://www.maastrichtuniversity.nl/research/educational-development-re… School
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the mechanobiology of native and engineered tissues, with a current focus on cardiovascular applications, using integrated computational and experimental methods. The group focuses on developing a deep understanding
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unpredictability such as entropy. You will also investigate the robustness of these mechanisms to disturbances and assess whether transmission patterns can be learned from external observations. This position is