111 coding-theory-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Monash University
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theories (SMT) and their optimisation extensions (MaxSAT and MaxSMT) as well as constraint programming and optimisation (CP) and mixed-integer linear programming (MILP) can be seen as success stories in
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platforms to meet the demands of both research and enterprise workloads. Employing Infrastructure as Code (IaC) tools like Terraform and Ansible for consistent and repeatable deployments. Implementing and
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software is not on the blacklist" (without revealing the exact software). There are multiple aspects of this project. For all aspects, some cryptography background is required. Design and analysis of new
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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological
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request a waiver code from asiascholarship@monash.edu before you submit your course application. More information and entry requirements for international undergraduate courses 2025 . If you have any
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for this scholarship will have their $125 course application fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application (include your country
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and team-based research, contributing to publications, attending conferences, developing research materials, and occasional teaching. The Research Fellow will also design experiments, develop code
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My research focuses on the theory of strongly correlated phenomena in cold atomic gases and electron systems. Particular topics of interest include low-dimensional quantum systems, superconductivity
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.
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of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches for state and parameter estimation to infer neurophysiological