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As an Office Administrator at Camp Kaleidoscope, you will work closely with the Camp Director and other camp leadership to ensure a successful summer camp experience for all participants. Join the team at JCC Greater Boston as an Office Administrator for Camp Kaleidoscope, our Summer Day Camp.
$6,500 - $8,250 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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If you have a solid foundation in machine learning and a keen interest in peptide/protein engineering and design, you could be pivotal in our journey. Your foundation in machine learning, combined with an interest in peptide/protein design, is what we value.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expertise in scientific programming languages (e.g., Python, R) and machine learning libraries (e.g., PyTorch, Tensorflow) We seek an enthusiastic and collaborative machine learning scientist with a focus on AI/ML methods to join our Small Molecule Drug Discovery team.
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Contribute to the development and refinement of machine learning models, including deep learning models for computer vision and natural language processing, to enhance Cria's capabilities in neonatal medicine.
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Pearson VUE offers a great environment to start or grow your career, we are now hiring for a part time Test Administrator to join our team in Boston, MA (Devonshire). Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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As a Learning Architect dedicated to Kinaxis Customer Enablement, you will focus on delivering tailored education services to Kinaxis customers, supporting change management, and ensuring efficient End-User adoption of RapidResponse.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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In coordination with Department Administrator and Grant Administrator, manages the development and oversight of Unit's budget. Provide efficient updates on trial progress to the Director of Clinical Trials, Department Administrator, and/or Administrator.
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The ISR Division's projects focus on advanced signal processing, adaptive sensor technologies, advanced algorithms, machine learning, and modeling and simulation for applications that include airborne radar, electronic warfare, and undersea systems.
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As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains.
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Expert at Apache Spark, Databricks, Hadoop, or other big data systemsExperience with machine learning frameworks such as Scikit-learn, SparkML, MLFlow, KubeFlow, etc. 8+ years experience working with machine learning models and deploying them into productionDegree in Computer Science, Electrical Engineering, Data Science, or other related computational fieldsExperience with NLP, computer vision, or deep learning frameworks such as Tensorflow, PyTorch, or HuggingFace, etc.
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