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on "Development of AI Models for Capturing Connections in System Diagrams" is the development of deep learning models to capture connections in scanned diagrams. By the end of the work, a method should be
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Future. Discover. Together. The research group "Interactive and Cognitive Systems" investigates artificial and natural cognitive systems and develops novel methods of human-machine interaction. Our
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on human-computer interaction: methods of digital humanities, digital hermeneutics, ubiquitous computing, fairness and ethics in AI, user interface technologies, user experience and behavioural research, and
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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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learning and big data analytics Extensive experience in Bayesian methods and with computer code repositories Experience in the field of energy storage Experience in managing scientific stuff, doctoral
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biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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. Your responsibilities: Support in setting up the Laboratory for Social Robotics Maintenance and development of the lab: methods, AI applications, social robotics Implementation of empirical studies with
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oligosaccharides using ion mobility mass spectrometry and gas phase IR spectroscopy. Both established techniques are applied and new methods are developed, especially for the differentiation of isomers. As part of
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The Faculty of Engineering Sciences and the Institute of Computer Engineering (ZITI) at Heidelberg University invite applications for a Full Professorship (W3) in “Chip Design” (f/m/d) This tenured
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-constrained devices. Uncertainty Quantification: Focus on methods to estimate and represent the uncertainty associated with biometric predictions, leading to more reliable systems. Explainability: Work