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reliability. Develop advanced energy management strategies using artificial intelligence, including reinforcement learning and hybrid classical-quantum approaches. Essential Function Yes Percentage of Time 45
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-whether based on gender, sexual orientation, gender identity, age, origin, culture, religion, disability, or any other personal or social condition. We are committed to ensuring equal treatment and
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of discrimination-whether based on gender, sexual orientation, gender identity, age, origin, culture, religion, disability, or any other personal or social condition. We are committed to ensuring equal treatment and
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using two granulation procedures, and studying mechanical reinforcement: - dry process, in rotating drum with spraying of an aqueous binder solution by varying: drum filling rate, speed and rotation time
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. Preferred qualifications: Strong methodological training in statistical inference, computational statistics, reinforcement learning, or optimization. Experience with Bayesian statistics, adaptive clinical
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Center (MPRC), University of Maryland School of Medicine (UMSOM). The project involves the use of fMRI and computational modeling methods to investigate decision-making and reinforcement learning in people
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: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning
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identity, age, origin, culture, religion, disability, or any other personal or social condition. We are committed to ensuring equal treatment and opportunities in all our processes, especially in recruitment
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characterisation tools (Raman, AFM, SEM, TGA, DLS, spectrophotometry, electron microscopy, HPLC, XPS) Good understanding of scientific data plotting and statistical data analysis IT tools (Origin Pro, Graph Pad
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level