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Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work Minimum Requirements/Qualifications: PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7 years experience , or MS with 13 years experience, or BS with 15 years experience.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties.
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Candidate must have a valid USPTO registration number and should have a degree (Ph. D. is preferred but not required) in chemical engineering, material science, biomedical engineering, or a related field.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, complemented by over 10 years of experience machine learning applications, including experience specifically in Early Discovery machine learning applications.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Master's degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required.
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Support efforts of the Office of Teaching and Learning by creating, curating, or identifying tools and resources to support system-wide priorities and policies as they relate to History/Social Studies, including the implementation of the History/Social Science Framework, the BPS Essentials for Instructional Equity, and the Essential History/Social Science practices.
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The School and University recognize that building a culture that values and supports diversity, equity, and inclusion is critical to the vitality and impact of our field.
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Experience as a radiation oncology medical physicist, including clinical experience with linac calibrations and QC, treatment planning system QC and routine use, sealed isotope therapy and radiation safety, IMRT planning and delivery, computer systems quality control, and medical physics program documentation.
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To qualify, you must have: + A Bachelor’s in Science degree or higher (computer science, electrical or biomedical engineering is preferred), AND a minimum of one year’s relevant and related work experience.
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Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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Additionally, the American Indian Science and Engineering Society selected Stantec as one of the Top 50 workplaces for Indigenous STEM professionals. Various project types include sewer separation, stormwater pump stations (up to 50 MGD), storage tanks (up to 4 MG) and water/wastewater treatment plants.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Boston, MA
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