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Field
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design (sub)components of digital circuits. A focus will be on the use and development of automated and innovative design tools. You'll use access to cutting-edge, CMOS-based IC technologies for your
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. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical
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. Background and position description The research group is heavily involved in the development of the Flora Incognita app for automated plant identification, which has been downloaded over 10 million times by
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the manufacturing and characterization of material samples. As such, the position offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated
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lab (e.g. laser alignment, spectroscopy, photon counting, data acquisition/automation) is advantageous but not required; Alignment with our core values What we offer The MQO group is young but yet very
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) to engineers and automated systems •Validate the system’s resilience, scalability, and practical relevance using real-world and representative datasets, with evaluation of technical performance and potential
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properties of the cluster-substrate system using an automated photocatalytic gas test setup for CO2 photoreduction available at A-PECS. Importantly, the PhD candidate will thus receive a joint PhD degree by
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems