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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
A post doc position in theory of machine learning is available. The post doc is under the supervision of Professor Kasper Green Larsen, Aarhus University, Denmark. The focus of the research project
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Gyrd-Hansen, Professor and leader of STEMBRACE, Ditte Caroline Andersen and collaborate with researchers from various institutes at SDU, Odense. At DaCHE, we apply economic theory and empirical methods
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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
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tools, and learning environments which can bring significant improvements in mathematics and/or computer science at university education, through a collaborative, reflective, and theory-informed research
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and the ability to develop relevant theories and methodologies. Strong competencies in product assembly/disassembly, manufacturing, platform design, and robotics Experience with Digital Advanced Product
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external stay at KTH in Stockholm, Sweden. Responsibilities Your overall focus will be strengthening the department’s competencies in the intersection between theory and real-world battery application by
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on novel high-resolution microscopy techniques to experimentally quantify transition probabilities, alongside density functional theory (DFT) calculations of defects in feldspar. This inter-disciplinary
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, theory, and methods of the PhD project is up to the candidate. It is highly recommended that interested candidates contact one of the project leads to discuss their PhD proposal prior to application
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the SPARKLE network. This position provides an exciting opportunity to work at the forefront of interdisciplinary research, combining theory and computational techniques to make an impact in the future
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with a team of quantum nanophotonics theorists and a team of nanofabrication experts. We have established an effective in-house collaboration that covers all aspects of our research: theory and modeling