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Stay current with the latest advancements in image processing, computer vision, and machine learning technologies, and apply cutting-edge techniques to solve challenges in NGS.
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Fundamental knowledge and/or experience developing and applying algorithms in one or more of the following machine learning areas/tasks: protein structure machine learning, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
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Relevant experience in image processing, and/or machine learning, with a focus on applications in the life sciences. Lead the design and implementation of real-time image processing and basecall algorithms and software solutions to support NGS workflows, including image acquisition, quality control, and data analysis.
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The nEXO team at LLNL is hiring a Postdoctoral Researcher to work on developing machine learning analyses as well as other software and hardware for the nEXO experiment. Extend nEXO’s data analysis using machine learning.
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Preferred Experience: Solidworks Workgroup PDM , fabricating parts in a machine shop, robotics/mechatronics experience, Agile, Confluence, Jira and/or project management software. Training and Career Development Program to give employees a learning path with the necessary tools and resources they need to help build their career at Omron.
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Omron Robotics and Safety Technologies, Inc.’s (ORT) Mobile Robotics Software Team has an exciting opportunity for a highly skilled Machine Learning Engineer specializing in robotics applications.
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The position will be responsible for leading the design, development, and optimization of image processing and basecall algorithms and software solutions tailored for NGS platforms.
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Nice to Haves:Knowledge of or prior work experience in one or more of the following subject areas would be helpful: electronic instruments, data acquisition and analysis, imaging or non-imaging optics, image processing, machine vision systems, modeling and simulation tools (MATLAB, Maple, Mathematica), embedded systems, computer languages (Python, C#, C/C.
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Electronic engineering, javascript, machine learning, malware, optical, processor, programmer, schematic. Create data acquisition and analysis processes, specifying equipment and using both custom computer codes and commercial data acquisition, scientific/statistical data processing, and experimental monitoring software.
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As a principal Site Reliability Engineer, you will be part of the DevSecOps culture who will combine software and systems engineering to build, package, release and integrate tools and applications that will strengthen and innovate in the Cloud space within the Oracle SaaS-at-Customer and OCI DRCC infrastructure.
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We are advancing the solar industry through innovative thinking, high-fidelity measurements, machine learning, and deep customer partnerships to improve energy production and reliability.
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Familiarity with machine learning, predictive analytics and optimization is a plus. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market.
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Collaborate with cross-functional team members (mechanical, firmware, software, microfluidics, system, & quality) to solve complex, system level design challenges and contribute to overall embedded systems architecture design.
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As a Machine Learning Engineer, you will have the opportunity to tackle sophisticated problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis.
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Vagaro is seeking an experienced and innovative Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data science, and software engineering.
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machine learning software engineer image processing jobs in Livermore, CA
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