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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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] to perform their tasks efficiently. The control of multiple robots through a centralized software platform can bring a large-scale farm automation. However, agricultural environments often feature
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(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
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provide a full-time PhD stipend to enable doctoral research that aims to make a difference to survival outcomes for out-of-hospital cardiac arrest (OHCA). The exact PhD topic is negotiable. Whilst it must
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obtained and documented before starting the position, and no later than autumn 2026. You must have strong modelling and programing skills in software such as Matlab/Simulink, PSCAD, OPAL-RT, etc., relevant
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised
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with data processing and interpretation using some of the widely used, and field-standard software tools, mentioned below: Proteomics: Proteome Discoverer, MaxQuant + Perseus, Spectronaut (DIA), FragPipe
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regarded as being cyber-physical systems, as they are controlled by digital networks and depend upon software and digital communication systems. The reliance on cyber-physical components is growing as
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domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact journals. Close collaboration
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pathologic processes. Challenging aspects include image segmentation of the lung, lobes, airways, and vascular tree; extending our tissue characterization software to include 3D anatomic features as