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encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn Danish during their employment in
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, regardless of personal background and orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from
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fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and parallel computing. Familiarity
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at the realization of large-scale diffusion language models and flow models. Specifically, tasks include but are not limited to: training using parallel GPUs, improving diffusion language models and flow models
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. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
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specific repositories) Soft Skills Outstanding organisational and communication abilities Strong problem-solving skills, eagerness to manage multiple parallel workflows Ability to work efficiently in a fast
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modeling; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written and verbal communication skills; self-motivation with
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and epigenetic manipulation of AML cells and massively parallel reporter assays to investigate gene regulation in leukemia. Computational analysis of these data will involve applying existing tools and
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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be developed in parallel: 1). Clinical Trial and 2) Research and Development Activities focused on improvement of the approach tested in clinical trial. With the SWIFT project we aim to stream R&D