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Job Description: The artificial intelligence platform architect will lead the development of autonomous driving software solutions with modular design and integrated platform to handle machine learning and deep learning simulation systems.
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Other desirable skills include the ability to perform computational biology analyses of next-generation sequencing data and experience with various mouse cancer models. We utilize a range of techniques, including biochemical and molecular biology methods, next-generation sequencing (including single-cell sequencing), and genome editing to study these processes in cell culture, mouse models, and patient-derived models.
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R or other languages) Experience with cloud computing (AWS), MLOps, next-generation-sequencing (NGS), single-cell genomics is a plus. Expertise in at least one deep learning library - PyTorch, Tensorflow, JAX, keras required.
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We are seeking a motivated individual for a Computational Research Scientist position that will specialize in deep learning to solve biological problems. 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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Position Summary The Next Generation Sequencing (NGS) team at Editas Medicine is seeking a motivated Associate Scientist I to help support the needs of a new class of therapies based on CRISPR-Cas gene editing.
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Job Description We have multiple openings for Postdoctoral Researchers to join our interdisciplinary team of Computational Bioengineers who will conduct research leading to our next-generation, machine learning-driven computational pipeline for protein design and optimizing protein-protein interactions as part of the Center for Predictive Bioresilience (CPB.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers.
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The ideal candidate will have extensive experience in deep learning and NLP, specifically with advanced models such as GPT-3, BERT, Transformer architectures, and Retrieval-Augmented Generation (RAG) models.
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Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC. + Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning.
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Then step into the exciting role of our Summer Camp Director and lead the charge as we empower the next generation of tech heroes! Do you thrive in a dynamic environment where innovation, learning and fun collide.
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Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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Strong development skills in deep learning frameworks (eg., PyTorch, TensorFlow, or Jax) Recent or soon-to-be completed Ph. D. (typically completed within 3 years) in Computer Science or Mathematics with strong background in one or more of the following: Statistical machine learning, Bayesian deep learning, probabilistic and differentiable programming, probability and measure theory.
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deep learning next generation jobs Title: applied scientist Company: Amazon in Maumelle, Arkansas
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