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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods.
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The successful candidate will have demonstrated leadership skills and expertise in areas such as: RF, radar, communications systems, analog and digital signal processing, software-defined radios (SDRs), FPGA firmware and hardware development, microcontrollers and embedded processors, physics modeling and simulation, systems engineering, and test & evaluation.
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Innovation: Work at the forefront of digital health technology, leveraging AI and machine learning to drive innovation and change. Minimum of 3 years experience as a Site Reliability Engineer or similar role, with a strong background in system administration, infrastructure engineering, or DevOps.
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Ability to work with/in Supervised and Unsupervised Learning, Deep Learning Networks, Natural Language Processing or Computer Vision, Recommender Systems, Python, and/or Software/ML Tools.
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MS in Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics. Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
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Automated Liquid Handler Knowledge : Experience and proficiency in operating and maintaining automated liquid handling systems, such as Agilent Bravo, to perform tasks like NGS (Next-Generation Sequencing) library preparation, RNA/DNA isolation, and sample processing.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Education Bachelor's degree in Computer Science, Engineering, Information Systems, or related field/work experience.
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The Product Design and Packaging (PDP) Team at Raytheon is seeking a Principal Electrical Engineer to join our team as an Electrical Computer Aided Designer Engineer (ECAD.
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The University of Massachusetts Medical School Department of Quantitative Health Sciences, Worcester, MA, is recruiting outstanding Research Scientists (postdoc) in natural language processing, machine learning, data mining and applications in the biomedical and health domain (e.g., question answering, information extraction, summarization, machine translation, pharmacovigilance and drug safety research) to join the research group.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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The Principal Software Engineer in the Advanced Technology department of the Software Engineering Directorate will serve as the Product Owner (PO) for a team developing tactical seeker flight software capabilities for major Advanced Technology missile programs.
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Artificial intelligence, pathology, digital pathology, oncology, immuno-oncology, auto immune disease, neurodegenerative disease, improving medicine, companion diagnostics, precision medicine, solutions, R&D, computational pathology, predictive, deep learning, and software engineering.
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2-5+ years of work experience in chemical engineering, process engineering, or related fields; or recent graduate with a degree in chemical engineering, process engineering, or a related field from an accredited institution and demonstrated hands-on experience (projects, co-ops, etc.
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Sales Territory or Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
$165,100 a yearRemoteExpandApply NowActive JobUpdated Today
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