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Experience with deep learning frameworks such as Keras, Tensorflow, Pytorch, etc. Applying deep learning frameworks to challenges in social and behavioral science domains.
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Experience with deep learning frameworks such as Tensorflow, PyTorch, and Keras. Experience in deep learning frameworks such as pytorch and tensorRT. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Qualifications: Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP. Primary Responsibilities: In this senior-level role, you will own, train, build and deploy cutting edge deep learning models across all Eightfold products, end to end.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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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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Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or JAX. You will be expected to have a high level of general technical competency, be a fast learner brimming with curiosity, and an expert in a few things - deep learning, in particular.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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Design and implement solutions for internal and external customers that exploit traditional machine learning and novel deep learning for next-generation satellite imagery analytics.
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Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and persistence; (3) technological competence; (4) the ability to use skills and strategies that engage students in ways that facilitate learning and prepare students for productive lives; and (5) success in teaching students from varying backgrounds reflective of Broward College's diverse student population.
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The candidate will apply machine learning and deep learning techniques to solve challenges in today's image-guided radiation therapy, including real-time low-contrast liver tumor localization, automatic structure segmentation for on-line adaptive radiotherapy, and real-time MRI motion estimation and reconstruction.
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This role requires expertise in quantitative analysis, data modeling, machine learning, a deep understanding of financial markets, and a proven track record of building successful quantitative trading strategies.
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Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Proficiency in ML and Deep learning libraries in Python (MLlib, PyTorch, Keras, TensorFlow, etc.
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Seismic Therapeutic, a biotechnology startup focused on the intersection of structural biology, protein engineering, machine learning and immunology, is seeking an experienced and motivated Associate Director / Director of Program Management to work closely with the program lead(s), cross-functional program teams and senior scientific team to develop and execute the strategy and operations for one or more of our research and early development programs.
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