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an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Improving understanding of seasonal and interannual carbon and water fluxes using process-based modelling
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches and the generation of mathematical models to the development of new
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for MOCVD, ALD, and VPI processes Project Background: The atomic layer processing technologies such as atomic layer deposition (ALD) and its variant area selective atomic layer deposition (ASD) have
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assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
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Your Job: At IET-1, we are studying the CO2 electrolysis for the sustainable conversion of green energy into chemical energy carriers in order to defossilize the chemical industry. The process
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combined with soil sensors systems and UAVs with multispectral cameras. Your tasks in detail: Development and application of high resolution time-lapse GPR and EMI imaging methods at multiple scales
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, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is
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generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods and biological readouts have been conducted to decipher the molecular makeup and phenotypes
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview