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online learning platforms. This is an exciting position within a well-established and successful online STEM education project and a chance to make an immediate real-world impact with your work in this
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mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will be part of the research team learning about developing recombinant Marek's
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biologists and other researchers. You will be responsible for applying computational chemistry, chemoinformatics and machine learning approaches to drug discovery, including molecular modelling, virtual
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robotics, task allocation, or distributed coordination is preferred • Experience with deep learning or reinforcement learning methods, such as PyTorch, multi-agent reinforcement learning
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theoretical analysis • Structured Learning & Learning Applications
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Intelligence & Machine Learning Develop machine learning and AI models to identify, predict and characterise genome instability patterns. Design generative and predictive computational models to infer mutational
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, measurement, and evaluation strategy, with a focus on cross-sector data infrastructure, linkage, performance measurement, evaluation, and continuous learning. Responsibilities: 1. Serve as a scientific partner
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, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model-predictive control, etc
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learning (RL). 2) The Automation Group: Experts in designing and deploying custom robotic systems engineered for high-throughput sample synthesis, processing, and analytical characterization. This role is