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Develop and apply state-of-the-art artificial intelligence/machine learning algorithms, including geometric deep learning and graph-based models, to predict complex biomolecular interactions and their selectivity.
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Areas of work include Artificial Intelligence, Computer Vision, Data Science, and Deep Learning. Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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Specifically, candidates with computer engineering expertise with a focus on Biomedical Engineering, Neural Networks, Cyber-Physical Systems, Artificial Intelligence, Machine/Deep Learning, Data Analysis, Robotics, Cybersecurity, and Augmented and Virtual Reality.
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To fully unlock programmability of RNA medicines, Sail is building a general purpose artificial intelligence (AI) platform to engineer translatable eRNA payloads as well as deployment nanoparticles to shuttle payloads to specific cells of interest.
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Demonstrated experience working on projects related to deep learning, representation learning, federated learning, causal inference or other machine learning and artificial intelligence-related modeling.
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Deep Understanding of Machine Learning and AI: The candidate should possess a robust understanding of various machine learning algorithms, artificial intelligence, and deep learning techniques.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Experience with specific computational domains, such as machine learning/artificial intelligence, image processing, signal processing is required. TSC’s Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of computational neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems, and computer vision.
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Candidates also need to have a publication track record showing research experiences that developed or applied at least one of the following techniques to solve a problem related to the broad application areas as listed above: signal processing/time series analysis, machine learning, deep learning, mathematical modeling, system identification, optimization, digital/mobile health, natural language processing, and data visualization.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Design. Examples may include; Large Language Models for biology, de novo drug design using Generative AI, geometric deep learning, structure-based prediction of bioactivity, etc.
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This role demands a blend of expertise in data science and a deep understanding of the semiconductor industry, aiming to harness advanced data analytics, predictive modeling, and artificial intelligence to address complex business challenges.
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The role will present opportunities to work on large datasets and the ability to use innovative techniques in Artificial Intelligence ranging from various NLP methods, computer vision, and deep learning to enable solutions that will be directly impactful to our customers.
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Required Skill/Ability 2: Exposure and basic understanding of Artificial Intelligence (AI) techniques, to include machine learning, deep learning, multi-agent systems, expert systems, and mixed-initiative human-machine learning.
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