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PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. 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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Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, medical technologies, and language learning.
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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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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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An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
$212,000 - $318,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
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Hands on experience with HTS or cryogenic systems (desirable) You will operate the systems required to build and test HTS magnet systems that may include cryogenics, CNC machines, machine tools, soldering and braising, vacuum, welding, and other specialized equipment.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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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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The SEI Math teacher will teach math to English Learners in grades 9-12 in the Sheltered English Immersion Program at Cambridge Rindge and Latin School using the Math Department Curriculum, the Massachusetts Mathematics Curriculum Frameworks and appropriate English language development pedagogy.
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Work collaboratively in cross-functional teams with chemistry, proteomics, drug discovery and AI/machine learning. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with machine learning to enable generative design of protein editing chemistries.
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MS or Ph. D. in computational biology, chemical engineering, data-science, operations research, applied mathematics, or other relevant fields. You will play an integral role on their team, with the development and deployment of fit-for-purpose models for simulation in pertinence to cell culture and fermentation processes.
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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.
$22 - $24 an hourPart-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Master's or Ph. D. in Chemistry or a related field, with a focus on inorganic chemistry and expertise in rare earth metal extraction techniques, including solvent extraction, ion exchange, and liquid-liquid separation processes.
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5+ years prior experience in B2B capital equipment sales with ASP of $500k to $2M (machine tool, industrial printers, or other heavy equipment.) Our solutions span use cases across the product life cycle, from product development to mass production and aftermarket operations, and they address an array of industries, including automotive, aerospace, healthcare, consumer products, heavy industry, machine design and research and development.
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machine learning applied mathematics hands on jobs Company: Birlasoft in Lexington, MA
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