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: nationality/ies: EUROPE Selection process titles and interview Website for additional job details https://titulus.unifi.it/albo/viewer?view=files/006532066-UNFICLE-821ed349-afc5… Work Location(s) Number
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through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name -- RICE -- Responsibility, Integrity, Community and Excellence. Position
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FOR SUPPORT TECHNICAL STAFF GROUP I IN THE RESEARCH LINE OF OPTIMIZING THE USE OF IRRIGATION WATER IN AGRICULTURE (CODE: C-004/26). More information: https://tablon.upct.es/anuncio/ Rw O VEe 1 b19 Deadline
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scientists by offering high-quality educational programs to master, PhD students and postdoctoral researchers (full details in https://iciq.org/careers/ ). Short Project description: This project aims
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, tested, analysed, disassembled, components washed, and remanufactured. The established process is optimized considering the chemical process solutions during electrode washing. Finally, the process is
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
optimize the growth of GaAs nanowires integrating crystal-phase heterostructures by molecular beam epitaxy (MBE). Contribute to scientific writing, presentation of results, and promotion of the project's
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-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance
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(AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes
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PhD at TU/e within the ICT Lab in the Signal Processing Systems group. Where to apply Website https://www.academictransfer.com/en/jobs/357819/phd-in-network-architectures-an… Requirements Specific
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied