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About the role This project will develop new machine learning techniques to enable efficient production of bespoke products, such as medicines in a high-volume, high-variation manufacturing setting
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Department of War security clearance. Knowledge, Skills, and Abilities: Deep Technical Knowledge: You have performed extensive research or engineering activities in applied machine learning and artificial
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based on machine learning tools for energy problems related to prediction. The application domains include both industry and climate changes. The first two months will be devoted to the study of
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Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Machine Learning
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positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and
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tools. Hands-on experience in autonomous robotics projects; exposure to deep learning or reinforcement learning is a plus. Strong problem-solving ability, collaborative and independent work style
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adjustments are required. The ultimate goal of this master’s thesis is to find a more robust solution based on machine learning (ML). Reference number 10/26 Your tasks Analyze white-light reflectance (WLR
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Research Associate to join a cutting‑edge research program at the forefront of machine learning and agentic AI for sustainability. Embedded within the ARC Training Centre for Whole Life Design of Carbon
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analysis via Unity Catalog. Extensive experience developing ML/AI pipelines in Azure and Databricks, utilizing tools like OpenAI Studio, Azure Functions, and Azure Machine Learning. Proven ability
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graduate courses with a focus in machine learning and its applications in artificial intelligence, NLM, GenAI, computer graphics, networking, cybersecurity, IoT, robotics, HCI, databases, software