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Field
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. You will be working at the intersection of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping
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Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
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interests, including both scientific topics and algorithm/software development; Potential synergies with ongoing research at the University of Michigan with at least 2 professors on campus applying
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
Job Requirements REQUIRED: Bachelor’s degree in computer science or a related technical field, or equivalent experience; a minimum of five years of professional software development experience
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Are you passionate about developing numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale
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implements machine and deep learning programs. Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods. Performs follow up validation efforts on cell lines. Minimum Qualifications
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including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic
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-generation supercomputing platforms. As part of this role, you will develop new mixed-precision algorithms, analyse their behaviour, and implement them on the accelerator-based architectures that power