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these inputs for device-scale structures, with methods such as DFT, currently poses a bottleneck in the application's capabilities. Project background The Computational Nanoelectronics Group was recently awarded
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and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Experience in numerical methods for partial
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 4 days ago
sponsor. Your tasks # Conceptualizing and performing radiotracer experiments in colloidal and coarse-particle adsorption systems, including methods for colloid characterization # Spatially resolved surface
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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economics, market design, and policy-relevant research. Experience with numerical, computational, or simulation-based methods (e.g. Matlab, Python, R, or similar); experience with statistical software is an
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, statistical thermodynamics, and numerical methods for partial differential equations. Experience or a strong interest in the study of stochastic fluid models is required. Knowledge of scientific programming
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Mechanical Engineering or equivalent qualification The ideal candidate will have a master's degree in mechanical engineering, with a solid background in fluid dynamics, thermodynamics, and numerical methods
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students majoring in biology, and many more students taking biology courses for other degree programs. Research in our department spans all levels of biological sciences creating numerous opportunities
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 6 days ago
de Lisboa Research Fellowship Regulation (Dispatch no. 9484/2023, of August 14), available at https://diariodarepublica.pt/dr/detalhe/despacho/9484-2023-221611620 . Selection Methods 1
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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information