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The search is for candidates at the interface of data science/machine learning and industrial engineering, operations research, and management science, including optimization, statistical learning, computational social science, healthcare, logistics, and operations.
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The Aerospace Engineering Department at Worcester Polytechnic Institute (WPI) seeks applicants for a tenure-track or tenured faculty position, at the Assistant Professor level, in the general areas of machine learning, deep learning and artificial intelligence with applications to astronautics and/or aeronautics.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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Professional expertise relevant to developing hardware and software IoT and robotic applications for new problem areas, in any of the following areas: hardware architecture, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization.
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Desired Specializations in One or More of the Following Areas (others considered): cyber security, robotics, machine learning, bio-informatics, large-scale networking, game design, human-machine interface, green energy, advanced semiconductor, industrial automation, electrical engineering, and mechanical engineering.
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This role demands a deep understanding of Transcriptome Analysis, Genetics in Disease, Prediction in Disease, Bioinformatics, Computational Biology, Machine Learning, Whole-genome Analysis, and Network/System Biology.
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Title: Assistant Director - Machine Learning Engineer. Develop and implement automated workflows for machine learning model training, updating and inferencing processes using MLOps tooling, such as MLflow Recipes, Kubeflow or custom solutions.
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This cluster hire initiative aims to hire four new faculty members over two years in the following areas of research: Mathematics Related to AI and Data Science (this position), Cryptography with applications to Machine Learning systems and algorithms, Computer Vision, and High-Performance AI Systems.
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Particular areas of excellence include 2D materials and devices, widebandgap and ultrawidebandgap devices, nanoelectronic, nanophotonic materials and devices, terahertz electronics and communications, wireless communications, cognitive radio and dynamic spectrum access, Internet of Things, big data and machine learning, smart grids and power electronics.
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The Die Cutting Bobst Assitant is responsible for learning the safe set up and operation of the die cutting equipment within the department. Learn to maintain and operate Die Cutting Machine(s) at the required production speeds while controlling quality, waste, safety, and housekeeping standards.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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We maintain excellent teaching and research programs in embedded systems communications, VLSI, controls, machine learning, power and energy systems, neuro-engineering, quantum computing, and electromagnetics.
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Robotics Lab ( Duties & ResponsibilitiesDesign, implement, and/or evaluate a method to facilitate user-robot co-adaptation in a wearable robot using data-driven machine learning predictionMentor/supervise/assist research activities within the lab for graduate/undergraduate students regarding control, mechatronics design, data analysis, human subject experiment, experimental protocol design, result interpretation/presentations, and/or manuscript preparations.
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DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, bioinformatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health informatics, equity in informatics, population health informatics, quality informatics, vital records and public health informatics, and translational bioinformatics.
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We welcome applications in research areas across the spectrum of CMP, especially (but not limited to) quantum materials by design, dynamics of quantum correlated materials, and data-driven and machine learning computational approaches to materials physics.
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machine learning jobs Title: assistant in Missouri-city, Missouri
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