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the working group focus is the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively
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timber from demolition. Collaborate in the physical and mechanical characterization tests. Statistically analyze test results and perform numerical modeling of wave propagation phenomena. Contribute
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 21 days ago
» is expressed on a numerical scale from 0 to 20 points. 5.8. The evaluation method using a «professional selection interview» may be waived by unanimous and duly justified decision of the Jury, in which
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infrastructure. To close numerous knowledge gaps and address technological bottlenecks in hydrogen safety the use of cutting-edge modelling and simulation tools is needed. It is recognised that the most advanced
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numerical methods 5. Preferred: Knowledge of collisional molecular shape theory and optical resonances 6. Required: Good English (spoken and written) 7. Ability to work in a team and strong motivation
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a relevant numerate subject, for example, mathematics, operational research, statistics or economics. Ideally, you should have an emerging track record of peer-reviewed publications and research
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processing disorders Clinical methods (eg. Report Writing, Billing and Coding, Professional Issues, Etc. Counseling Diagnosis and management of vestibular disorders Disorders of the auditory system Foundations
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
Quantum Algorithms for Fluid and Environmental Flow Modelling. Your tasks # Independent development and analysis of mathematical and numerical methods for partial differential equations # Design and
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git