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IUT, in Diophantine geometry, in applications of modern mathematics to deep neural networks, and related areas. The previous research work has been partially supported by research grants from several
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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quantum optics; electromagnetic response of solids; numerical skills in nonequilibrium Green’s functions, first principle calculations, DMFT, Quantum Monte Carlo, Exact Diagonalization, Tensor Networks. Our
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algorithms, error correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical
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support from a senior academic staff (sponsor) Access to mentoring, career development and networking with the wider fellowship community Opportunity to a permanent academic post, subject to performance