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/ Data Architect (m/f/d, E13 TV-L, 100%) The position is available in the team of the Machine Learning Science Cloud and runs until 31st December 2032. Help us build a modern HPC architecture for training
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design, develop, and implement comprehensive security solutions across the cloud federated services architecture used at Helmholtz sites and partner organizations. You will assess and continuously monitor
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implement machine learning algorithms to model and analyze dynamic phenomena in milling processes Explore and apply Physics-Informed / Physics-Guided Machine Learning approaches Design and develop cloud-based
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A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless
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linear systems Implementation of the most promising approaches to solve the linear systems arising from MESHFREE point clouds, for example for the hydrostatic pressure equation outside of MESHFREE Analysis
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and in German Basic software skills (word-processing, Excel, powerpoint/keynote, cloud storage) You might also have: Experience in standard genomics techniques (RNA-seq, ATAC-seq, DNA-seq) and library
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Bachelor-/ Master Thesis: »Investigation of effects of surface metrology data on optical simulation«
supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We
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-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We value and promote the diversity of our employees' skills
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technical role A solid understanding of secure systems design (e.g., SOC, HITRUST CSF) and data protection principles Familiarity with architectural concepts related to: Cloud or hybrid infrastructures Data
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Sensibilität bezüglich Datenschutz- und ethischer Anforderungen im Umgang mit Cloud-Services und Nutzer∗innendaten Sehr gute Deutsch- und/oder Englischkenntnisse (C1+) Wir bieten: Teilzeitstelle (19,75 Stunden