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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics.
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Senior Machine Learning Engineer page is loaded. Experience with DevOps practices and tools for machine learning model deployment. As an ML Engineer, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry Required Skills Engineering skills to be able to optimize data analysis workflows for speed and usability Proficiency in programming languages such as Python and R, with experience in data analysis and machine learning libraries.
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Data Science, Analytics, Big Data, Marketplace, IoT, Training, EdTech, Artificial Intelligenc, Machine Learning, Deep Learning, AI, Talent Cloud, Talent on-Demand, Skills Taxonomy , Upskilling, HR Tech, and Recruiting.
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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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The BCG Global Learning & Development Design Center has established an Innovation Center of Excellence (CoE) to enhance and modernize the learning experience for BCG employees globally and future-proof our learning function.
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PhD in computational biology/medicinal chemistry or related field with expertise in machine learning, biochemistry, and molecular modeling. We look for scientists with deep expertise in the mathematics and theoretical underpinnings of machine learning and computational chemistry (cheminformatics, molecular dynamics, QSAR), with a deep knowledge and experience in.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. Postdoc in Computer Vision, Machine Learning, Robotics or related field.
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Experience working with digital educational content or designing learning experiences as an instructional designer, a learning experience designer, a creative role in ed tech, in educational publishing, or with experimental pedagogical approaches in the classroom.
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We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP® and elective courses.
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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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Specialized knowledge of and proficiency with various software products used in building media and learning assets, including but not limited to: HTML/CSS, Javascript, Screenflow, Premiere, Final Cut Pro, Motion, Photoshop, Illustrator, Hype, audio recording and editing software, emerging AI tools, and others.
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Experience and familiarity with quantitative research and data is strongly preferred, including expertise in biostatistics, bioinformatics, computational biology, clinical imaging, machine learning, genetics, proteomics or data science.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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machine learning jobs Title: devops engineer Company: Amazon Corporate Llc in Boston, MA
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