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, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv The successful candidate will work with Prof. Fabrizio Pastore
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Applications should include: Curriculum Vitae (including work experience, list of publications) Cover letter indicating the research area of interest and your motivation Research statement Early application is highly encouraged, as the applications will be processed upon reception. Please apply...
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 4 days ago
Job Code: 23.25 Job Offer from October 22, 2025 Aim: Design, build, and test an ion soft landing instrument and program its control software. Fields: Instrument building, Software development, Ion
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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optimize the UV micro-photoluminescence setup. Perform optical and cryogenic tests. Develop the software for control of the instruments and data acquisition based on PyModAq, Where to apply E-mail
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 4 days ago
is part of the DFG-funded project “ScaleRep: Providing a Multilingual Answer Scale Repository to the Cross-cultural Research Community.” The project aims to develop and test a repository for frequently
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near completion) before the position start date. Strong background in software engineering methodologies, software testing, or software quality assurance. Strong mathematical foundation and mathematical
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multi-disciplinary research environment that follows modern software quality standards (version control, unit testing, continuous integration, etc.). Experience in the development of large-scale physics
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opportunity to collaborate with partner animal laboratories to test mechanistic hypotheses derived from imaging findings. This ambitious project aims to develop mechanistic biological models of severe mental
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fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art technical or methodological skills, applying innovative techniques in the examination