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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state
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within CSSR at the Department of Physics and Technology. Specifically, it is envisioned to develop and analyze new mathematical and numerical methods for processing 4D spatial and temporal data
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experimental collaborators, we build numerical and theoretical models from the ground up, revealing how the known mechanics of individual components give rise to collective behavior. Many such phenomena occur
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. They typically contain a combination of numerical, categorical, and textual data, and are often multilingual. DPPs are still evolving, facing challenges in data processing, handling missing or redundant data, and
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initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. Academic Rheumatology has strong interests in crystal arthritis, drug safety, and
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the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular membranes alongside
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developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific research tasks will include
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st
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methods. Collaborate within the institute and with external partners to push our assays toward medical countermeasure development efforts or far forward locations for biosurveillance to accomplish