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of implicit solvers or multigrid techniques, and low-rank tensor methods for high-dimensional PDEs. A strong background in numerical analysis and multiscale modeling is essential. Applicants MUST submit
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mathematical analysis, numerical exercises using Python, and participatory demonstrations of mechanical systems. Number of Positions: 1 Estimated course enrolment: 92 students Estimated TA support: TBA hours
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numerical approach The PhD is part of a Franco-German co-funded project between IFP Energies Nouvelles (IFPEN) at Lyon and the Hamburg University of Technology (TUHH), focusing on the modelling of gas/liquid
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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for geometric PDEs, in particular for fluid problems posed on surfaces. Both theoretical analysis of numerical methods and code development. Job requirements: PhD in mathematics or applied mathematics, experience
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thickness (maximum thickness of a few nanometers). An important part of the thesis work will make use of numerous surface analysis techniques (microscopies (AFM, SEM, fluorescence), spectroscopies (EPMA, ToF
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI FISICA E ASTRONOMIA | Italy | 15 days ago
Infrastructure? No Offer Description The activities will focus on two main, complementary research lines. 1) Analytical-numerical modelling of the tsunami wave generation process from various source types
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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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heterostructures. This position offers opportunities for collaborative theory development, advanced numerical modeling, and participation in a vibrant, multi-institutional research environment. Regular joint
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(JCNS-1) Project 3: Combined X-ray and neutron single-crystal high-pressure diffraction in diamond anvil cells (JCNS-2) Project 4: Experimental and numerical investigation of the heat flow generated by