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work with Prof. Jordi Cirera Fernandez in the use of electronic structure methods to study the electronic structure of these systems and its potential integration in nanoscale memory devices
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implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
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/quantum-circuit techniques and/or approximate tensor-network methods. Analytical skills with integrability, random-matrix theory, dual-unitary circuits, hydrodynamics, or field-theoretic methods are also
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. The successful applicant will work on improving inherited prostate cancer risk estimates for Black men. Specifically, the project has two main aims: generating real world evidence to optimise and evaluate current
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Biology: Strong background in systems biology and regulatory network modeling Interdisciplinary Collaboration: Experience working across disciplines with computational biologists, computer scientists, and
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integer optimization programming, energy-related techno-economic assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English
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immunocytochemistry, electrophysiology & live cells imaging. The aim of the projects is to approximate cellular phenotypes in an in vitro model of Bipolar Disorder (BD), & attributing abnormal network activity
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part of a team including clinicians, neuroscientists, engineers and computer scientists, engaged with studying the early developing brain. The post holder must have a solid understanding of MRI
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candidate will possess excellent research, communication, organizational and leadership skills, including detailed recordkeeping, computer literacy, scientific writing and the ability to contribute to method
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer