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Field
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Per Week 38,7 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227683 Is the Job related to staff
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methods in high-performance computing and real-time signal processing, which will enable reliable process data rates of 10–100 Tbit/s in the future. As part of existing and future projects, you will take
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
Applicable Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
of multiphase reactions Assessment of different process configurations and application scenarios, including techno-economic evaluation Investigation of process intensification opportunities through optimized
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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters
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of Translational Imaging in Oncology at NCT/UCC Dresden is seeking, as of June 2026, a Medical Physicist Reference number: 2026-0030 Our department uses imaging to optimize new therapies and investigates new radio
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and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop novel optimization
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Performing simulations on high-performance computing environment Performing parameter studies to identify optimal operating conditions and to support the design and improvement of experimental setups
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(Berlin) in a close partnership with the Forschungszentrum Jülich, contributing to algorithm development, computational tool implementation, and validation with experimental partners (TU Graz and
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AI-based material modeling, focusing in particular on one or more of the following fields: AI-assisted modeling, optimization, and problem inversion in the area of material properties and processes