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Field
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
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6 Jan 2026 Job Information Organisation/Company University of Cologne Department Faculty of Mathematics and Natural Sciences Research Field Physics » Other Researcher Profile First Stage Researcher
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SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to markus.schmidtchen at tu-dresden.de or to: TU Dresden, Junior Professorship in Applied Mathematics, Jun.-Prof. Dr
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layer security, considering different attack methods ▪ Develop and mathematically analyze information-theoretic coding schemes ▪ Investigate and define privacy and security metrics (KPIs) ▪ Implement and
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers
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involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics