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below and above its Néel temperature. The goal is to disentangle magnetic and structural contributions to electron diffraction data and to compare the results with measurements recorded using X-rays and
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requires 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
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₂ physisorption Data analysis using Python, OriginPro … Literature review and interpretation of results The topic offers various focuses and can be adapted based on your interests Your Profile Currently
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Your Job Familiarize yourself with available data, infrastructure, relevant physical processes and requisite background knowledge (in occupancy estimation techniques) Install and configure available
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models
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Your Job You will implement central search services within the research data infrastructures developed by FAIRagro You will be involved in the development of an inventory service that provides a
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Project INF of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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supervised models on downstream regression tasks. A key challenge lies in effectively modeling the temporal nature of EO data. Since downstream applications require varying temporal resolutions and sequence
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of atomic-resolution structural and spectroscopic data. Your Profile Completed qualification to enroll for the Master thesis in Physics or Materials Sciences, with a good track record Willingness to