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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and alternative ways
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. Preferred Qualifications Past experience with mathematical analysis of machine learning models trained on computer vision tasks, programming, and statistics, as well as an interest in the empirical, behavior
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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technical writing (French and English). Preferred: Experience in fault mechanics or hydromechanical modeling; scientific programming; high-performance computing; mathematical/theoretical analysis of models
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of descriptive and predictive mathematical models. Examples of current and relevant problems in modern society that can be treated using such methodologies are ensuring the efficiency of industrial and
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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2 Mar 2026 Job Information Organisation/Company Met Éireann Department Research & Applications Division Research Field Computer science » Modelling tools Mathematics » Computational mathematics
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inviting dynamic young scientists, capable of theoretical fracture mechanics and related modeling techniques, to join our team to probe cutting edge issues in fatigue and fracture. Some examples of research
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California State University, Long Beach | Long Beach, California | United States | about 19 hours ago
Machine Learning, Mathematics Modeling, Artificial Intelligence, Data Science, High-Performance Computing, or Optimization Successful experience at the post-doctoral level or in industry, ideally including