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Develop innovative processes focused on natural language processing, data science, machine learning, and text analysis as we build the next generation of Bloomberg's proprietary news classification products.
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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods-atmospheric, climate, and/or weather modeling-computer science, statistics, and/or machine learning with applications relevant to genomics-population genetics / genomics.
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Ph. D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math Strong background in Deep Learning and/or Medical Image processing 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
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A strong liberal arts core forms the foundation for programs offered through TCNJ's seven schools - Arts & Communication; Business; Education; Humanities and Social Sciences; Science; Nursing, Health, and Exercise Science; and Engineering.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Hands-on experience with flow, PCR and cell-based assays is a plus. The ideal candidate for this position should have work experience in cell therapy process development, manufacturing science, analytical development, and familiarity with GMP/FDA/ICH guidelines.
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Oversee a coherent and cogent agenda for the development and execution of interdisciplinary research programs described above which are conducted by ETS scientists who work — often in collaboration with researchers at universities and institutions from around the world — in disciplines that include statistics, psychometrics, educational research, cognitive science, psycholinguistics, AI, computer science, and public policy.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Skills & Qualifications:Bachelors degree in Occupational Health and Safety, Industrial Hygiene, Environmental Science, or related field5 - 10 years of experience in HSE in a manufacturing environment.
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ERM is seeking a Managing Consultant, Corporate Sustainability & Climate Change to join our growing corporate sustainability and climate change advisory services practice in across North America.
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Experience with Artificial Intelligence (AI), Machine Learning, OCR is a plus Education, Certifications, or Special Licenses: Bachelor’s degree in Finance, Information Technology, Engineering or related discipline, or equivalent work experience.
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JAKTOOL is looking for a CNC Programmer/Machinist who will be responsible for supporting precision prototype services through programming and operation of machine tools and the application of engineering technology.
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Manufacturing Science & Technology Specialist SRG offers flexible staffing solutions with a national presence. SRG utilizes an innovative approach to identify and qualify talent that is unique to the Staffing industry, featuring a cutting-edge platform that allows us to rapidly and precisely match professionals to client requirements.
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machine learning computer science image processing a plus jobs in Princeton, NJ
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