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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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Computer technical skills include Microsoft Office, especially Excel for data analysis; AutoCAD Civil 3D (version 2013 or later); HydroCad; ArcGIS, and ArcGIS Online; GPS rover for data collection; and total station.
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The Principal Software Engineer in the Advanced Technology department of the Software Engineering Directorate will serve as the Product Owner (PO) for a team developing tactical seeker flight software capabilities for major Advanced Technology missile programs.
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Engineer production-grade machine learning systems in conjunction with our Engineering teams for large-scale distributed compute setups and be deployed for design of million-variant+ de novo libraries.
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PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Special Initiatives at Boston UniversitySpecial Initiatives (SI) is focused on securing leading philanthropic gifts in support of select University priorities, including the Center for Antiracist Research (CAR), Computing and Data Sciences (CDS), the Center for Emerging Infectious Diseases Policy & Research (CEID), the Institute for Sustainable Energy (ISE), and the National Emerging Infectious Disease Laboratory (NEIDL.
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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Job Summary: The Data Scientist will be an MEng, PhD, or someone with similar educational or work experience who has both conceptual/theoretical and practical/hands-on expertise in data science, artificial intelligence, machine learning (includuing deep learning), and related areas and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, and entrepreneurial acadmic setting.
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The Community Learning Center (CLC) empowers a diverse community of adult learners to transform their lives and realize their potential through education, skills development, and community participation.
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Familiarity with patent prosecution in electrical engineering, software-related technologies, data science/AI, networking technologies, machine learning/artificial intelligence, and hardware security is preferred.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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You'll be responsible for the operation and quality assurance of film processing, patient monitoring, and x-ray equipment. Job Description & Requirements Specialty: Interventional Radiology Technologist Discipline: Allied Health Professional Start Date: 09/23/2024 Duration: 13 weeks 40 hours per week Shift: 8 hours Employment Type: Travel Setting: Hospital Join our compassionate team of Imaging Professionals as an Interventional Radiology Tech and use your expertise to perform invasive diagnostic and interventional procedures at a reputable heatlhcare facility currently experiencing a staffing shortage.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc.
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PhD in applied mathematics, computer science, physics or other quantitative disciplines with a strong focus on machine learning and deep learning. Strong experience and knowhow to develop, innovate and leverage deep generative machine learning models for protein, RNA or small molecules therapeutics (representative examples include ProtVAE, MolMIM, MolGPT.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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machine learning data engineering computer natural language processing jobs in Boston, MA
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