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learning, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine learning, high-performance
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
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) Diagnostic development Computational solid and fluid dynamics Chemical physics Nuclear physics Particle and radiation transport algorithm development Artificial intelligence and uncertainty
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across Integreat's partner institutions. You will also join an established cohort of early-career researchers and benefit from the centre's researcher development programme, including scientific