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In collaboration with the Senior Director of Clinical Services and Social-Emotional Learning and other OSS leaders, develop and implement programs that support students’ academic and social-emotional learning.
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Serving the vibrant tech hub of Boston and beyond, our specialization lies in placing top talent in permanent positions within cutting-edge fields such as AI, machine learning, hardware acceleration, quantum computing, silicon photonics, and other emerging technologies.
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To do so, you will collaborate closely with the machine learning and computational biology teams in a fast-paced environment that prizes rigor and independence. As a Machine Learning Engineer at ProFound, you will need to understand and implement several machine learning approaches, from logistic regression and tree-based algorithms, causal and graph models, to neural networks.
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Signal Processing: Experience with radar signal processing techniques, DSP algorithms, and Machine Learning is preferred. SoC Experience: Practical experience in developing software for embedded System-on-Chips (SoC) such as ARM, NXP, and Microchip.
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The multi-disciplinary team consists of talented technical staff with expertise in electromagnetics, optics, signal processing (communication, GPS), RF design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
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Expertise in Python, Spark, Machine Learning, SQL, and ElasticSearch. Experience with data visualization technologies, including Vue. JS, React, or similar, and API development. Expertise in Python, Spark, Machine Learning, SQL, and ElasticSearch.
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Demonstrated commitment to diversity, equity, and inclusion, including a history of integrating DEI into program development, delivery, and assessment, and experience supporting international student adaptation, learning, and belonging at an American university.
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Ability to apply statistical and machine learning techniques to large clinical variables and OMIC data setsExperience in Programming with R, Python, MATLAB, and/or Java that focus on computational biological applications for clinical dataPrepare detailed quality control report workflows for evaluation by principal investigators and other staff members.
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We blend quantitative and qualitative analysis to deliver bespoke client work anchored in our deep understanding of eCommerce team org design, maturity models, Jobs to be Done, capabilities benchmarking, channel strategy development, retailer playbooks, learning & development, and much more.
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Our specially selected team of engineers, software developers and scientists develop algorithms, software integrated prototypes and solutions for Artificial Intelligence, Machine Learning, Manned and Unmanned Aerial Vehicles, Mission Planning, and Situational Awareness.
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In-depth knowledge in the frontier of system chemical biology; expertise in network analysis, data mining, visualization tools and new machine learning techniques is preferred. Deep Learning (TensorFlow, PyTorch) and/or Bayesian (PyMC3) frameworks.
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MS or PhD degree with 6 years of experience in computer science, machine learning, applied mathematics, bioinformatics or related field is highly preferred. Proven track record in developing and deploying data science and machine learning solutions in the biomedical space is required.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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In addition, the applicant should have excellent programming skills in MATLAB and Python and potentially have emerging experience with machine learning, neural networks, or deep learning frameworks.
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State-of-the-art Phillips 7700 3.0 Tesla MRI with ultrafast MR imaging supported by deep learning (AI) reconstructions, an additional 3.0 Tesla magnet, and a new 1.5 Tesla MR (all Phillips). Comprised of Tufts Medical Center, Lowell General Hospital, MelroseWakefield Hospital, Lawrence Memorial Hospital of Medford, Care at Home - an expansive home care network, and large integrated physician network.
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machine learning jobs Company: Apple Inc in Waltham, MA
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