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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 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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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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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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7+ years of hands on experience in extractive metallurgy, mineral processing, hydrometallurgical process development with rare earth, copper, cobalt, nickel or actinides. Learning: Learning & Development Opportunities to grow your skills and career.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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Experience with: multivariate statistics, (e.g., machine learning, multiple regression, structural equation modeling, trend analyses) program evaluation, survey research, data acquisition and organization for the purposes of building statistical models.
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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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Implementing and evolving our educational approach, which is rooted in social-emotional learning, STEAM (science, technology, engineering, art, and mathematics) curriculum, and nature-based learning.
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Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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4+ years of hands-on machine shop or related education/ training and combination manufacturing experience preferred. Reporting to the Machine Shop Manager, the CNC Machine Operator plays a pivotal role in the manufacturing environment by ensuring CNC machines are inspected, programmed, and function properly.
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Expertise and hands-on experience in operating and maintaining analytical instruments including but not limited to GC, FTIR, UV-Vis, DSC, TGA, SEM, XPS, Raman, IC, 1H-NMR, and 19F-NMR. SES has an opening for an Analytical Scientist, who is passionate about mobile energy storage and is an expert on Material characterization.
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Ph. D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, with 0-5 years of experience and a strong focus on deep learning and/or cell engineering.
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Hands-on experience of using CUDA and HPC libraries for GPU-accelerated computing. You will be responsible for designing, developing, and integrating core applications for CAD geometry preprocessing, including feature detection, slicing, layer generation, tile position generation, tile sequencing, engineering analysis, print process simulation, support generation, optimization and generative design for area printing, and machine learning / AI integration.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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machine learning mathematics hands on jobs Company: Birlasoft in Lexington, MA
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