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Field
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or development of machine learning methods, or a desire to learn these skills, are also welcome. We offer the opportunity to work on interesting scientific challenges using modern experimental methods available in
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adapt to unexpected events. In particular, we focus on the role of faultlines—the imaginary dividing lines that split a system into subgroups—in shaping how teams collaborate and perform under pressure
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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collaboration with the UvA data department); conducting in depth studies on a subset of UvA students to investigate the role of psychological variables (e.g., motivation) and curriculum characteristics (e.g
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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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(NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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materials. This will be done in collaboration with Prof. Dominik Bucher at the Technical University of Munich, and you will be spending 2-6 months in his laboratory. Responsibilities and qualifications
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen