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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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Bridge between experimental and groundbreaking digital technologies, expertise in machine learning and artificial intelligence (AI) as applied to drug discovery. to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
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O Leader, coach, and mentor to R&D functions including assay development, software (development and test/QA), image analysis/machine learning, project management, systems engineering, systems integration, manufacturing and laboratory operations, and to develop the company’s focus on other forms of cancer.
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This software design and development may include machine control, data acquisition, I/O, communication (such as with electromechanical or electromagnetic actuators), data storage, data processing/analysis, HMI/GUI implementation, and integrations with other software platforms used (e.g. LabVIEW or Python‐based.
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Senior Principal Scientist, Machine Learning, Molecule Design and Prediction Status: Archived. Strong experience with contemporary deep learning methods; preferably with demonstrated applications of models in the areas of active learning, generative machine learning, graph neural networks, geometric deep learning, or large language modeling.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge Gen AI. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.
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EDS Faculty research interests include linguistic and cultural diversity, teacher learning, leadership, and policy, school leadership and change, family and school partnerships, and uses of educational technology in teaching and learning.
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With a commitment to excellence and diversity, the University of California, San Diego Department of Education Studies (EDS) invites applications for the position of Non-Senate Faculty (NSF) Lecturer.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Document Student Learning Exposure and Outcomes Establish and maintain accurate data that empowers analysis of the support we provide to students, including attendance data, academic data, student forms, and inventory of educational materials and supplies.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Experience with python, open source cheminformatics packages (e.g., RDKit) and machine learning are highly desirable. What You Will Contribute To AltosAn exciting opportunity is available for a talented Scientist / Senior Scientist, Computational Chemistry to join the Institute of Medicine (IOM) Drug Discovery and Development Sciences team at Altos Labs. We are seeking highly motivated, creative, and collaborative individuals who are passionate and dedicated to employing their expertise to restore cell health and reverse disease.
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big data machine learning jobs Title: learning engineer in San Diego, CA
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