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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Entrepreneurial energy driving value ahead of demandStrong working knowledge of the intersection of technology strategy and the impact of new emerging technologies, such as data and analyticsDesired:Advanced degreeIn-depth Pharmaceutical industry and/or drug development experienceTakeda Compensation and Benefits SummaryWe understand compensation is an important factor as you consider the next step in your career.
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Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to process large biomedical datasets, develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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The successful candidate should have a high degree of proficiency in Python (or other scientific programming), machine learning libraries, Cheminformatics tools, and cloud computing and be responsible for developing complex workflows to support the selection, design and optimization of peptide modalities and formulations.
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The Role:The Cambridge Rindge and Latin School, in partnership with the Health and Physical Education department, seeks a Health Education Teacher for the 24-25 School Year. The teacher will report directly to the Coordinator of Health, Physical Education and Wellness and to the principal of the school or small learning community administrator to which she is assigned, as well as to the CRLS PE/Health Lead Teacher.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) The Associate Director, Clinical Data Analyst, has a critical role in the delivery of high-quality external data across Dyne's development pipeline by proactively identifying, measuring, and mitigating risk prior to acquisition of non-electronic data capture (EDC) data.
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Orchestrates the Delivery of Business Outcomes•Through understanding priorities, needs and opportunities of Research & Education, develop options and make recommendations for new or changed technology capabilities, considering costs and benefits, operations and impact on researcher experience.
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Experience in any of the following areas is a plus: curtain wall design, historic preservation, industrial rope access/rock climbing, and public speaking. Design of remedial repairs to existing building systems, including walls, roofs, window and curtain wall systems, and plaza waterproofing systems.
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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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Conduct independent literature reviews to fact-check information and applies principles of health education, plain language, and learning theory in the editing process, assuring content complies with the departmental style guide.
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Collaborate with the Director of Diversity, Equity, & Inclusion to keep multiculturalism and diversity as a priority of curricular work and curriculum development Ensure that respect for diversity, equity, and inclusion, social emotional learning, and academic excellence are emphasized as core values of The Park School.
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As our Principal Embedded Software Engineer, you'll be at the forefront of cutting-edge technology, driving the design, development, and integration of platform and application software for embedded systems and controlling large-scale, heavy lift machine applications.
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A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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education technology department of machine learning jobs Title: technology in Lexington, MA
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