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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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for estimating population immunity against infectious diseases, to analyse large and complex datasets, and to perform other duties as assigned. Post-doctoral Fellows will work semi-independently under
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research and appreciate the complexity of biological systems are particularly encouraged to apply. The abilities to work independently, participate in highly collaborative projects, and contribute
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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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the analysis of large and complex datasets; iv) excellent written and oral communication skills; and v) the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability