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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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programmes of the university, including medicine, biomedicine, midwifery, and nursing as well as computer sciences. Research portfolio: The holder of this position will have the possibility to develop a
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. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted to clinical applications. ➢ A good knowledge of Python
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has a wide range of applications in domains focused on monitoring and securing complex systems, including mobility, manufacturing, communication, economics, and environmental science. These domains
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Context. The initial great promise of 3D geometric modeling and processing was to achieve for shapes what had been done in digital signal processing for sound and images. Over the last twenty years
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, or electrophysiology recordings) identified in step 1.2. TheVirtualBrain framework [12] will assist in effectively managing the integration process. Aim 2: Model the computational de-association of memory traces 2.1
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computer science or a related field. General: Knowledge of hospital environments and the healthcare sector, as well as innovative technologies: AI algorithms, image and signal processing, segmentation, modeling
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master’s degree in mathematics, physics or informatics with a strong knowledge in machine learning. Skills: Coding in Python and/or R is required. Previous knowledge in archaeology and zoo-archaeology would