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properties of individual materials depending on the temperature. The results obtained from the numerical analyses give a relatively objective picture of the behavior of materials under the influence
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication
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-current flume with advanced instrumentation and numerical simulations using open-source tools such as OpenFOAM or REEF3D. Your duties: Participation in a research project on local scour around pile
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: The Research Fellow will be in charge of modelling, simulation, and analysis for projects
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interface of hydrology and geophysics, to gain extensive experience in field experiments, data analysis, numerical modeling, and scientific programming, and to contribute to fundamental advances in
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AMMETIS[1] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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Associate Researcher whose research will focus on space physics. The research includes the following activities: Numerical modeling of the dynamic variability of radiation belt fluxes Data analysis from
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Precession Electron Diffraction (SPED) into an existing and well-equipped (S)TEM environment and the development of robust data analysis routines to enhance nanoscale orientation and phase analysis in aluminum