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, DeepFields (using drones, airborne optical sectioning (AOS) -a unique synthetic aperture sensing technique developed by JKU-, and machine learning for harvest and damage estimation in agriculture), in
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- 4 Additional Information Eligibility criteria • Experience in computer modeling and programming • Knowledge of associative learning at both the neurobiological and psychological levels • Experience
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, or related field required. Masters degree preferred. Equivalent combination of education and experience considered. Skills and Knowledge: PeopleSoft Experience Three (3+) years with PeopleSoft HCM, Campus
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Agricultural production knowledge/experience Experience in designing and developing online education What We'd Like You to Know: Learn more about Purdue’s benefits summary, https://bit.ly/3sHGbls Purdue will not
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life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement
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electromechanical systems hardware and computer vision software to analyze and measure manufacturing processes and systems. Duties and Responsibilities : Design software architecture based on deep machine learning
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; and a can-do approach to work as it arises. Good communication and presentation skills. A keen appetite to learn new skills and technologies. You will Have — Desirable: A good working knowledge of
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 16 days ago
mathematical background with knowledge of numerical optimization and machine learning. With regards to software engineering, proficiency in Python is expected and preliminary experience in a distributed
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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. Presenting the results. Preparing a scientific paper in the form of a master's thesis with the results. What you contribute Good knowledge in the field of machine learning and training neural networks. Ideally