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Role Overview: We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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Conduct fundamental and applied research at the frontiers of applications of quantum computing for mRNA drug design including but not limited to optimization, quantum chemistry, and quantum machine learning.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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The position assists the principal investigator and other team members with neuroimaging-based projects, such as neuroimaging data acquisition, data processing and analysis, and integrating machine learning methodologies at the Boston VA Health Care System.
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Current faculty interests are in applied mathematics and computational science in biological, earth science, engineering and physical contexts, and, especially, in biophysics, multiscale fluid mechanics, machine learning, medicine, neuroscience and soft materials.
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Machine Learning Engineer, Generative AI Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. As a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry.
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REQUIRED : Ph. D. in civil engineering, urban planning, computer science, operation research, industrial engineering, or a related field by the start of the appointment; experience with transportation systems, spatial and network analysis, optimization, machine learning, statistics, econometrics, large-scale datasets, and cloud computing; record of research that can shape the future of urban transportation and mobility; and strong publication record and communication skills.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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This is a unique opportunity for you to work with cutting-edge technology development initiatives within the AbuGoot lab, focusing on stem cell biology, regenerative medicine, gene therapy, cell therapy, and advanced machine learning approaches.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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About Artificial Intelligence and Machine Learning applied to drug discovery. PhD in Organic/Medicinal Chemistry with deep knowledge of synthetic/organic chemistry, medicinal chemistry, computational chemistry, and drug discovery.
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Fidelity’s Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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machine learning jobs Title: electrical in Cambridge, MA
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