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team members Perform accelerated optical degradation tests of transparent conductive materials Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a
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velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
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machines (data movers, data pipelines, storage management). Scouting for new commercial and open-source software tools. Develop image analysis-based quality control tools for microscopes. Profile We
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these projects will bring forward the integration of novel methods at the intersection of advanced control, optimization, manufacturing science, robotics, and machine learning. The two doctoral student positions
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samples, sectioning, immunostaining Acquire a series of confocal microscopy images Quantify images using pre-defined algorithms Prepare GLP compliant reports Your profile Biologielaborant/in (or equivalent
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CAD packages and work in a multi-disciplinary team of software engineers, architects, computer scientists and roboticists. Your projects will include multi-disciplinary collaborations with the timber
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ecosystem, Linux administration skills. Experience with the following is preferred, though there will be ample opportunities to learn and gain more experience with all of these skills on the job: Maintainting
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for developing unmanned surface vehicles. The group's primary research areas encompass multi-agent system design and control, adaptation, machine learning, and physically embodied intelligence. In this dynamic
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to support computational design synthesis and generative engineering design across different representations. A variety of potential application areas will be investigated including consumer products, machine
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society. We are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports