31 bio-inspiring-computing PhD positions at University of Southern Denmark in Denmark
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be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations and the
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. The successful candidate will be asked to apply to the PhD school, Faculty of Health Sciences, SDU for enrolment as PhD student. The PhD programme will be carried out in accordance with faculty regulations and the
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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basic research. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across physics, chemistry, pharmacy, mathematics, computer science and biology. The
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to join a cutting-edge research project at the intersection of microelectronics and quantum computing. As the quantum computing field rapidly advances toward large-scale, fault-tolerant systems, one
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. Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties
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to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on the PhD
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computational resources at the University of Southern Denmark (SDU). This project offers an excellent opportunity to contribute to cutting-edge AI-based Digital Twin modeling research within an interdisciplinary