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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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of the operational algorithms for methane and carbon monoxide. We have various research projects with high-impact stakeholders focusing on methane emissions using the TROPOMI satellite data, also in conjunction with
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) for photorealistic immersion in moving scenes, computer vision for scene understanding (e.g. objects, lighting) using AI algorithms working on the 3D representation, The goal is to bridge fundamental algorithmic work
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 4 hours ago
resilience of AI/ML architecture/algorithms in applications including cyber-physical systems, Internet of Things (IoT), and human-centered computing and assistive technologies. The preferred candidate's
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. Optimizes and extends algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with
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Engineering. Information Technology. Highly valued: Expertise in Python, ROS environment, and vision and artificial intelligence algorithms. High level of English is a must. Where to apply Website https
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wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
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, Elixir and Python. The Senior Research Associate role is expected to lead the investigation of the algorithmic aspects of these systems and the design and implementation of prototype tools for Erlang
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Assistent position in the research group Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry
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Communications Surveys & Tutorials. 2021 Oct 4;23(4):2525-56. · Kshemkalyani, Ajay D., and Mukesh Singhal. Distributed computing: principles, algorithms, and systems. Cambridge University Press, 2011. · Convery