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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational
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of multi-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome, and transcriptome data) by using efficient algorithms
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computer science or a related field. General: Knowledge of hospital environments and the healthcare sector, as well as innovative technologies: AI algorithms, image and signal processing, segmentation, modeling
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. The Department of Robotics focus is on rigorous, high-impact, original research emphasizing robot learning, (eg CoRL) and robot algorithms (eg WAFR) rather than development of new robot hardware. Research topics
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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The lab of Computational Transcriptomics at the Genome Institute of Singapore (led by Dr Jonathan Göke) is offering a position for a postdoctoral fellow to work on long read single cell and spatial
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, data ecosystem and other cloud computing platforms, systems and applications to support translational data science; and/or c) the development of machine learning, statistical, bioinformatics and AI