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Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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Dana-Farber offers a variety of personal, professional, and leadership development opportunities to all members of its workforce through Division of Philanthropy offers 75+ specialized professional development sessions designed for staff each year through its in-house learning program, the Center for Advancement Training.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value “decision support” solutions.
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Apply software engineering best practices to machine learning, including CI/CD and automation. This person will help develop and support infrastructure and tools to accelerate or enable machine learning research.
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Analyzes data in open source platforms including in R. Processing plant and soil samples for pigment and nutrient analyses using a variety of techniques including high pressure liquid chromatography (HPLC) and other analytical methods.
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Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.
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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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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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Set up and operate a 5axis CNC machine to perform tasks such as drilling, grinding, milling, etc. This will include cryogenics, CNC machines, machine tools, soldering and braising, vacuum, welding, and other specialized equipment.
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Experience with machine learning tools and frameworks such as TensorFlow, PyTorch etc. Ability to interpret machine learning research and translate it into reliable, maintainable software.
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Ensure that respect for diversity, equity, and inclusion, social-emotional learning, and academic excellence are emphasized as core values of the School. We welcome candidates who will add to the diversity of our community and who have demonstrated a commitment to diversity, equity, and inclusion in their teaching and learning.
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MIMIC, our computationally driven bioplatform that couples machine learning with molecular mimicry, engineers therapeutics to trigger a desired biological response. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.
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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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Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. We are a driving force behind drug discovery, and we are now eagerly searching for an exceptional computational scientist like you to join our ranks.
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machine learning open source jobs Title: technical in Lexington, MA
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