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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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) experience in large model training, knowledge distillation or efficient deep learning algorithm development, foundation model implementation and optimisation; and (c) good communication skills in English
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described below? Are you our future colleague? Apply now! Your duties may include: Algorithm Development: Evaluate, select, and apply advanced scientific methods to create data applications, dashboards, and
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necessary for a diversity of projects. Is Your profile described below? Are you our future colleague? Apply now! Your duties may include: Algorithm Development: Evaluate, select, and apply advanced scientific
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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industry needs while working on projects at SIT. Key Responsibilities Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify
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reinforcement learning algorithms and contribute to the joint development of the broader modelling and policy framework. Your work will focus on multi-criteria reinforcement learning, uncertainty-aware decision
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(CI) to design, build, and optimize high impact computational tools, algorithms, and analytical workflows that power innovative research in medicine. You’ll manage and analyze large datasets and
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otherwise be lost in the glare of their host stars. The primary goal of this PhD is to develop a novel active algorithm capable of achieving real-time starlight suppression across all wavelengths. The PhD