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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
about how we collect and process applicant data in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR). Website for additional job details https
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projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
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Researcher (R2) Positions PhD Positions Application Deadline 29 Jul 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models Further information can be found here: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis
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to industrially fabricated devices Your Profile Master and PhD in physics or a related field In-depth experience with quantum control experiments on quantum dot qubits Good software development skills Experience
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to Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in connection with your application, available at https://portal.mytum.de/kompass
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Degree PhD Course location Göttingen Teaching language German English Languages Courses are held in English and German. The PhD thesis is usually written in English. Full-time / part-time full-time
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analysis, application adaptability and integration, human computer interaction, security, and sustainability. To be and remain useful to their users, software systems not only need to offer the functionality
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system