13 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Forschungszentrum Jülich
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share the goal of developing stable and reliable perovskite-based tandem photovoltaics, while maintaining complementary scientific responsibilities. FZJ focus: automated and data-driven development
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an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How do we build and
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electrolysers. The focus is on high-throughput experiments for the production, characterisation and optimisation of inks and coatings. You will apply and improve automated workflows and link them with data-driven
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze
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helium cryo-magnetizing stage. Your tasks in detail: 1. Experimental design and data acquisition Performing structural and chemical characterization of specimens using advanced TEM techniques, including
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of heterogeneous operational data. However, limited availability, privacy constraints, and the variable quality of real-world datasets continue to hinder the development of reliable AI solutions for energy system
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will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team of data
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reactivity measurement to measurements of single compounds and secondary pollutants. Your tasks in detail: Measure the total reactivity of pollutants in field campaigns Evaluate and analyse data to understand
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Testing of the control algorithm in the hardware-in-the-loop environment Interaction of the developed algorithm with the data from the container-size prototype Integration of the data from the prototype and