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project - “Oracle complexity bounds of first-order methods for nonsmooth optimization with nonconvex function constraints”. They will be required to conduct theoretical analysis, algorithm implementation
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/work tasks The PhD project is part of WP4 – Topology, Algebra, and Geometry for Complex Data Analysis at the Lie-Størmer Center. It will develop mathematical and computational methods in Topological Data
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Geometry for Complex Data Analysis at the Lie-Størmer Center. It will develop mathematical and computational methods in Topological Data Analysis, with particular emphasis on multiparameter persistence and
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should have strong experience in optimisation, computational modelling, operational research or quantitative decision analysis, together with the ability to formulate complex real-world engineering or
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optimisation, computational modelling, operational research or quantitative decision analysis, together with the ability to formulate complex real-world engineering or operational problems as tractable
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. Strong background in the mathematical modeling of multiscale and multiphysics phenomena, including proven application of dimensional analysis, fractal analysis, and hybrid physics–AI approaches
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mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets, including proteogenomic data generated across high-throughput profiling platforms
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are not limited to: Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling for complex scientific problems Designing
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the maximum daily exposure (MDE) values for inactive ingredient (excipients) that lead to quarterly IID updates, contributing to IT initiatives and analysis activities; and engaging with improvement efforts
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful