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Field
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strong background in asymptotic analysis, particularly including exponential asymptotics, resurgence, or asymptotics beyond-all-orders. a strong background in numerical analysis, particularly computational
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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students who receive exceptional exposure to a variety of expertise. Our faculty and students have received numerous national awards in research and mentoring and are committed to excellence in training
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, scientific and numerical computation Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit Doctoral Degree in Computational Chemistry, bioinformatics, computational biology, or
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, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics and microscopy systems. A
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focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and
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primarily experimental, it also relies on strong abilities in analytical and numerical theoretical physics. Host research group: Ultra-low temperatures (MCBT-Institut Néel) Where to apply Website https