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reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS
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stakeholder groups. Deep understanding of business processes and IT alignment, with the ability to deliver measurable value. Skilled in resource planning and budgeting for large-scale projects. Self-motivated
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work on Deep Reinforcement Learning (DRL
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pay for this position is $70,000 per year + benefits. AI and Deep Learning for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University of British
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Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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básica en análisis de datos. Programación en Python. Conocimiento de modelos de machine y deep learning. Nivel medio de inglés. Secondary school diploma, vocational training (FP), or Bachelor’s degree
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would