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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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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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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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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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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. New York City (Hybrid On-Site): $149,000 - $149,000 for Data Science InternSan Francisco, California (Hybrid On-site): $158,000 - $158,000 for Data Science Intern.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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PREFERRED : in-depth knowledge of and relevant experience with applied projects on data analytics and machine learning in the context of logistics, supply chain, operations, and/or related fields; and experience teaching (e.g., support, TA, or leading lectures) courses on logistics and supply chain management and/or in quantitative-oriented courses, e.g., coding, statistics, and/or analytics.
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Competitive Pay: $22.00 - $24.00 based on Applied Behavior Analysis (ABA) therapy experience and RBT Certification. Provide one on one in-home Applied Behavioral Analysis (ABA) therapy to children who have Autism.
$24 an hourPart-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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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). On-call radiology residents are on duty on site at TMC and the late shift attending will work with them throughout their shift.
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About our Nurse Residency Program: Bridges the gap between the classroom and hands on direct patient care. Our training program offers a mix of on-the-job training with a designated highly trained preceptor, virtual classroom learning, and simulation lab training.
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Hands-on experience with modeling software like MATLAB/SimBiology is required. Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs) and how these can be applied in the development of complex models of biological pathways/systems.
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Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others.
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machine learning applied mathematics hands on jobs Title: software eng in Lexington, MA
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