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Field
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networks Implementation of algorithms via computer simulation Experience with programming in Python, C/C++ or another language Knowledge Knowledge of Optimization methods, signal/image processing techniques
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and Open RAN systems Hardware and/or software implementation of digital signal processing algorithms in actual, real-time systems How to apply Please apply on the University website with your CV and a
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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clinical data. The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic
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for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national level for peer-reviewed
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on semi-automated segmentation, classical registration techniques for motion correction, and iterative algorithms for parameter mapping – leading to computation times of many hours or even days per case
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the analysis of facial movements. Subtle features such as facial asymmetry, impaired muscle control, and abnormal expression patterns often emerge during the acute phase of stroke. By designing algorithms
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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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implement novel AI models and algorithms Contribute to the planning and execution of research experiments with human participants Manage and analyse large, complex datasets Develop software and prototype real
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mechatronic prototypes. Designing and fabricating custom parts (e.g. SolidWorks) using 3D printing and other rapid prototyping methods to support research and development. Developing software and algorithms