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Field
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. • Ability to work collaboratively across multiple projects both as a project lead and to projects led by other team members including students and other post-docs, effectively managing parallel
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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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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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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. 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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. Therefore, everyone, 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
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multiple technical tasks in parallel. Initiative, ownership, and the ability to work independently with minimal supervision. Effective communication and collaboration skills for working with clinicians
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, everyone, 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
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well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and understanding of developing scientific data management, workflows and resource management problems. Strong problem
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks