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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Dyne has a broad pipeline for serious muscle diseases, including clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and a preclinical program for facioscapulohumeral muscular dystrophy (FSHD.
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Preferred Technical qualifications • Machine learning frameworks (e.g., Scikit-learn, Tensorflow, PyTorch, Keras) and concepts (e.g., supervised, unsupervised, active, and reinforcement learning; neural networks; generative, discriminative models.
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Demonstrated expertise in biological data analysis; experience with single-cell sequencing, proteomics, machine learning, and/or multimodal data integration is a plus. The Lage Lab at the Stanley Center for Psychiatric Research and Novo Nordisk Foundation Center for Genomic Mechanisms of Disease is seeking a Computational Postdoctoral Associate to join our team.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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At Phoenix Tailings, we have an open culture that values learning, and we are looking to grow the team with enthusiastic individuals who share our vision of sustainable mining. Learning: Learning & Development Opportunities to grow your skills and career.
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Lead and strengthen coordination and alignment of priorities and information sharing between OCPA and leadership and communications/marketing staff in Professional and Lifelong Learning (Executive Education & Public Leadership Credential), Degree Programs and Student Affairs, and Alumni Relations and Resource Development.
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Work on multi-disciplinary teams to design innovative solutions using commercial, open-source, and MITRE-developed software. Communicate technical approach and findings to both internal and external stakeholders.
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Our research interests include radio frequency (RF), machine learning (ML), cognitive electronic warfare (EW), cognitive radio, cognitive signals intelligence (SIGINT), trustworthy AI, novel learning methodologies, and adaptive decision making and control across distributed systems, among others.
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Whether you’re a recent graduate or an experienced Technician looking for a change, a new beginning at Banfield means an open door to explore the next best move in your professional career. Awesome opportunities to volunteer through Mars Volunteer Program, like volunteering at coral reef cleanups or on research vessels.
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Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others.
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Industry and/or research experience developing algorithms in one or more of the following areas: image/radar/video processing, computer vision, machine learning, or deep learning.
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Watertown Community Education is currently hiring for various open positions supporting the Extended Day Programs at the Cunniff, Hosmer, and Lowell schools. Equal Opportunity Employer Watertown Public Schools is committed to maintaining a work and learning environment free from discrimination on the basis of race, color, religion, national origin, pregnancy, gender identity, sexual orientation, marital/civil union status, ancestry, place of birth, age, citizenship status, veteran status, political affiliation, genetic information or disability, as defined and required by state and federal laws.
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machine learning open source jobs Title: technical program in Burlington, MA
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