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job description and the link for submitting the application material under reference number 25063. If you have questions on the submission process or have questions on the position please contact Prof
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 15 hours ago
of Contract Temporary Job Status Part-time Offer Starting Date 15 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 54/08/25 Is the Job
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Industrial Doctoral Landscape Award (IDLA) in Gas Turbine Heat Management. Supervisors: Prof Peter Ireland Future aircraft engines will maximize fuel efficiency by including new, fluid flow and cooling systems
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they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science or Physics Excellent written and spoken communication skills in English Strong mathematical and
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to support safe-by-design development of plant-based meat alternatives improving supply chain sustainability and limiting food waste. The novelty of the project relies on the development of multi-species
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period. Enquiries regarding the application process may be directed to Prof. Serena Best at smb51@cam.ac.uk or Prof.Ruth Cameron at rec11@cam.ac.uk Please quote reference LJ46434 on your application and
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scales and different phases which leads to nonlinear time and history dependent material behavior. Additionally, innovative changes are happening in the steel production process, especially in the drive
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission