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Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous. Experience in coding (e.g., Python) and in the use of Structural
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intelligence analysis tools. Participate in international conferences. Take advanced classes to improve academic skills. Carry out teaching, teaching support and BSc./MSc. co-supervision as part of the overall
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. Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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data analysis, while contributing to fundamental questions in evolutionary biology. We welcome applicants with training in biology or related quantitative fields (mathematics/physics/computer science
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge energy modeling and analysis to be part of the Ports as
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methodology and software for Probabilistic Resilience Analysis (PRA) of major hazard plants and nearby communities under NaTech multi-hazard accidents. Define resilience indicators and recovery functions based
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 1 day ago
design and data analysis, - Participate in the data preparation and writing of manuscripts, - Collaborate with team members - Actively participate in the research conducted in the lab, in lab meetings and