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Field
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population genetics/genomics. The focus of this postdoc will be on the application of Ancestral Recombination Graphs (ARGs) for spatial population genetic inference. Our work combines computational and
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, Mathematical Foundations of Machine Learning and AI, Financial Mathematics, Actuarial Science, Graph Theory and Combinatorics, Applied Probability and Stochastic Processes, and Cryptography. Candidates whose
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, Number Theory, Coding & Cryptography, Graph Theory & Combinatorics, Statistics, Artificial Intelligence, Computational & Applied Mathematics, Dynamical Systems & Mathematical Biology. It hosts the Key
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Equations, Dynamical Systems, Combinatorics and Graph Theory, Biomathematics, Probability Theory and Mathematical Statistics, etc. l computational mathematics, including Numerical Approximation and
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combinatorics, structural graph theory, and related fields. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in Mathematics (Combinatorics and/or Discrete
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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be enrolled in the PhD programme at the University of Oslo or UiT The Arctic University of Norway. Integreat brings together more than 100 researchers from mathematics, statistics, machine learning
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more than 100 researchers from mathematics, statistics, machine learning, logic, language technology, philosophy, and related fields. As a PhD fellow, you will become part of this interdisciplinary research
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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Statistics, Biostatistics, Computer Science, Data Science, Information Science, or a closely related field (completed by start date). Demonstrated research experience in statistical/mathematical foundations