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In this capacity, this leader oversees a team of computational scientists and develops and guides the implementation of cutting-edge computational approaches, including Artificial Intelligence (AI) and Machine Learning (ML), to target identification, pathway analysis, biomarker discovery, and the design and optimization of both small and large molecules.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Ph. D. in data science, artificial intelligence, computer science, mathematics, data engineering, or a related technical field. Master's degree in data science (DS), artificial intelligence (AI), computer science (CS), mathematics, data engineering (DE), or a related technical field.
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Our neural biosensor and artificial intelligence software are opening a new window to thousands of new, neural-based applications that can improve human health and wellness and help individuals control their environment via gesture recognition.
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Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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Master's Degree in Engineering, Mathematics, or Computer Science- with a focus in Process Mining, Machine Learning, Data Science, and Artificial Intelligence. Analyzing large datasets, building data pipelines, building ontology, creating insightful visualization.
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We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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An opportunity to learn about the applications of advanced artificial intelligence algorithms to drug discovery and development from the beginning. We are looking for an exceptional data scientist join our exceptional team.
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Collaborate with the CTO Office and AI team in the investigation, preparation, adoption, and exploitation of artificial intelligence and other disruptive technologies, focusing on accelerating digital business innovation and transformation.
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Researches and develops Machine Learning (ML) models that identify suspicious transactions and customers using Artificial Intelligence (AI) and ML-based systems. DE developing classification models on text data, using Spacy, NLTK, Tensorflow, Pytorch, and BERT frameworks.
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Particular attention will be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation, software and data engineering, data mining, machine learning, and Artificial Intelligence.
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Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science. Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus.
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Valo Health, Inc (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation.
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Develop data mining, machine learning, artificial intelligence and/or data modelling plans to support projects and programs. Strong understanding of statistical methodology, machine learning algorithms and artificial intelligence.
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artificial intelligence jobs Title: data in Belmont, MA
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