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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area
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many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics Broad
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at the BC-CfE. The PKMS laboratory is led by Dr. Anil Maharaj and focuses on optimizing the safe and effective use of drugs in underserved populations through modelling and simulation. The BC-CfE is a world
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project studying
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, modelling missing data for IPDMA, estimating sample parameters from incompletely reported data, and using optimal test assembly methods to create short-form measure; and (3) meta-research on bias from data
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of Pharmaceutical Sciences and the Laboratory team at the BC-CfE. The PKMS laboratory is led by Dr. Anil Maharaj and focuses on optimizing the safe and effective use of drugs in underserved populations through
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sequencing Strong skills in developing, implementing, and optimizing bioinformatics workflows and tools Experience with high-performance computing environments and version control systems like Git Proven
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, quantum many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics
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the following fields: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
(https://www.ofi.ca/programs/transform-climate-action) is currently underway. This project aims to develop a framework and models for a Digital Twin for Ocean Industries, for optimal deployment to support