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both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application of these methods in lakes. We are now
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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, technology and society using frameworks and methods from Science, Technology & Society (STS), history, philosophy, anthropology, critical theory, and the arts. We privilege interpretive, qualitative methods
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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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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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based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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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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. 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