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Work with research informatics and data teams to deploy enterprise-level cheminformatics and machine learning solutions across the discovery and medicinal chemistry groups. This will include implementing machine learning methods for physicochemical property predictions as well as ADME/PK/tox endpoints.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making as well as further learning and optimize drug discovery efforts. Join Takeda as an Associate Director where you will help develop the vison, strategy, roadmap and execution of building, maintaining, and continuous learning for all data and analytics platforms in Global Biologics.
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Experience working with digital educational content or designing learning experiences as an instructional designer, a learning experience designer, a creative role in ed tech, in educational publishing, or with experimental pedagogical approaches in the classroom.
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Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world.
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Department: Teaching and Learning Reports to: Executive Director of Humanities Location: City-wide Founded in 1647, Boston Public Schools (BPS) is the oldest public school district in the country.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Key responsibilities for the Senior Software Engineer, UX Engineering include:Lead the development, deployment, and maintenance of full-stack, data-driven, cloud applications that serve our scientific community.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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As a Senior Cloud Engineer, you will be responsible for spearheading the cloud workload expansion to Azure, deploying and maintaining our vast infrastructure using IaC tools, developing automation and software solutions for fellow teams at State Street , integrating new tools and technologies to boost efficiency and meet new challenges, and working with other engineers, architects, and managers to continue innovating in all the cloud efforts of the team.
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Position Summary The Executive Office of Energy and Environmental Affairs (EEA) is seeking a Senior Network Engineer that will be part of the Network and Telecommunications Team under the directions of the Manager, Network Engineering & Telecommunications.
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Familiarity with machine learning and deep learning models concepts, including containerization software such as Docker, and packages such as PyTorch and TensorFlow. Within Mass General Brigham AI, the Digital Clinical Research Organization (CRO) aims to translate healthcare AI/machine learning algorithms to clinically regulated AI-based Software as a Medical Device (SaMD) products to be commercialized and used at the clinical point of care.
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This is a hybrid role of working with both traffic systems design engineering, utilizing software such as Synchro and VISSIM, as well as performing geometric road & highway design with Autocad Civil 3D and Microstation.
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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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You are passionate about learning new technologies, are team orientated and a strong communicator. Cloud: Experience building with and deploying to cloud platforms such as AWS and leveraging serverless architectures (e.g. Lambda, Glue.
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machine learning software engineer jobs Title: cloud software engineer Company: Erias Ventures Llc in Boston, MA
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