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For Bourn and Koch. Your job responsibilities will be focused on learning the BK products and controls used on our equipment. Bourn & Koch manufactures machine tools and replacement parts, and provides field service to the machine tool industry.
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Programming for bioinformatics, biostatistics, image analysis, machine learning. Applying tools from evolutionary genomics, molecular genetics, and field ecology in sunflowers and monkeyflowers, our research addresses the following questions: How do plants cope with daily and seasonal environmental fluctuations.
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6+ years of data engineering experience (ideally applied to machine learning use cases) Extensive knowledge of offline and online large-scale data processing frameworks (e.g., Spark, Beam, Flink) and stream technologies (e.g., Kafka or Kinesis.
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As a video machine learning algorithm engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products.
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The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions.
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Develop machine learning and statistical modeling algorithms to facilitate biomarker and target discovery. Demonstrated expertise in the development of machine learning and statistical modeling algorithms.
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2U is seeking a Machine Learning/Artificial Intelligence professional who has a passion for making a difference. edX delivers boot camps through an immersive learning experience with expert services and valuable resources.
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Develop and implement statistical models and machine learning algorithms to forecast future trends and support strategic decision. Strong understanding of natural language processing (NLP) and text mining/information retrieval.
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Design and perform computational analyses to answer biological questions, such as batch normalization, clustering algorithms, and machine learning modeling to automate gating. No degree required, but proficiency usually demonstrated by getting a Bachelor/Master's in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related discipline.
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Experience with the Python data science and machine learning ecosystem, ideally with an understanding of PyTorch. Artificial Intelligence (AI) and Machine Learning (ML) are woven into the fabric of many of our incubation programs, with great potential to create more value for our customers and strengthen our competitive advantage.
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The ability to teach hands on graduate courses in general areas of Data Science such as Artificial Intelligence, Deep Learning, Distributed & Scalable Data Engineering, Machine Learning, and Natural language Processing.
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Edge Computing: Developing custom hardware and software to leverage advanced edge-computing SoMs and conduct research in class-leading machine learning, artificial intelligence, and edge data processing for a variety of applications.
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The Department has research strengths in data mining, databases, graphics, image and video computing, machine learning, natural language processing, networking, distributed systems, operating systems, software design and implementation, real-time systems, security and cryptography, and theory of computation and algorithms.
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Comprehensive knowledge and hands-on experience in 3D data analysis and machine learning algorithms. A team hailing from innovators like Apple, LinkedIn, Stripe, Meraki, Flexport, WeWork, NASA & beyond.
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The candidate should have at least a BS in computer science background and coursework at graduate or undergraduate level in artificial intelligence, virtual reality, machine learning, natural language processing, blockchain, and/or bioinformatics.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
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