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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly realistic human and animal avatars for use in research, film
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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PhD Positions Country Germany Application Deadline 6 Dec 2025 - 00:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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spanning multiple locations and entities, where complex constraints and resource interdependencies – among people, machines, and robots – demand the deployment of intelligent algorithms for orchestration
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of quantum algorithms that can be successfully executed. To improve the computational capabilities of current quantum computers, crosstalk errors and decoherence of a quantum computer need to be characterized
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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Surface Science Area of research: PHD Thesis Starting date: 13.10.2025 Job description:EU MSCA doctoral (PhD
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on quantitative evaluation metrics such as algorithmic fairness paradigms. Applicants should hold a PhD in philosophy, law, cultural anthropology, or (qualitative) social science. The positions are fixed-term (6
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In this project, you will develop innovative quantum algorithms
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algorithms to compute similarity between interaction interfaces. The PhD candidate will work on substantial improvements of these existing computational pipelines and use them subsequently to discover novel