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(at least 2 first-author publications) • Experience with numerical simulations and/or geochemical modelling software • Advanced knowledge of isotope geochemistry and/or related field • High proficiency in
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project The successful candidate carry out will research in the field of theoretical continuous-variable quantum computation. In particular, the focus will be on bosonic codes, classical simulation
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Simulations with classical and AI tools to investigate the impact of changes in external forcings on climate extremes during the past centuries, and how this impact changes with increasing greenhouse gas
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performance. Some suggested research topics may include: (i) NISQ algorithms, (ii) quantum simulation of complex many-body systems, and (iii) quantum computational complexity. This list is not intended to be
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research interest and why you are suitable for the position (maximum 1 page) CV including a list of relevant publications Copy of the official academic transcript of your degree Names, e-mail addresses, and
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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information of 3-5 references and copy of research statement. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code