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Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. and exciting projects with new opportunities and learning.
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A law firm is seeking a highly skilled Machine Learning Technology Specialist to join its team in San Diego, CA. The ideal candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting interviews with inventors.
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Experience with Deep Learning is also ideal (e.g., TensorFlow, Keras, PyTorch packages, etc. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning.
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Under the supervision and direction of the Expanded Learning Manager and Expanded Learning Site Lead, the Expanded Learning Mentor (ELM) will develop and implement academic and enrichment activities for groups of 20 students in grades 1st - 8th and/or groups of 10 in grade TK or Kindergarten.
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The mission of the Teaching + Learning Commons (the Commons) is to advance student success through teaching excellence and comprehensive academic student support; be an incubator for student academic success innovations; increase access to education on campus and beyond; and actively promote equity and inclusion within the organization and through its programs and services.
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Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Founded in 1976, FullBloom annually supports more than 170,000 children and 25,000 educators in over 1,100 school districts across three divisions, Catapult Learning, Specialized Education Services, Inc. (SESI), and Little Leaves Behavioral Services.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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At Imagine Learning, we change the lives of K-12 students and open doors of opportunity by serving students with the industry’s best language, literacy and math SaaS software. For Candidates in the European Union : As part of any recruitment process, Imagine Learning collects and processes personal data relating to job applicants.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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You have strong data science skills , including thorough experience with Python data packages, classical machine learning libraries and deep learning frameworks, and data visualization. You have a Masters or PhD in Data Science, Machine Learning, Applied Statistics, Bioinformatics, Computational Biology, Computer Science, Physics or closely related disciplines and 5+ years of relevant work experience.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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Competitive candidates will have demonstrated a strong commitment to scholarship, advocacy, and leadership in clinical ethics, bioethics, professionalism in health care, the medical humanities, community service learning, public health, global health, or other closely allied disciplines as evidenced by related publications and projects.
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learning job Title: principal Company: Boeing
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