112 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Newcastle University" uni jobs at DAAD
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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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developing countries (KOSPIE)" with funds from the Federal Ministry for Economic Cooperation and Development (BMZ). As part of this programme, young students from Tunisia from engineering subjects (including a
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to complete your doctoral degree in Germany. The scholarships are funded by
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available in the further tabs (e.g. “Application requirements”). Objective As part of the programme with Mexican partners, students studying the natural sciences and engineering spend one year in Germany (one
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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic
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available in the further tabs (e.g. “Application requirements”). Objective This call refers to a joint scholarship programme of DAAD and Secihti. Interested applicants must apply to both the DAAD call and the
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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opportunity to prepare for a scientific leadership position and simultaneously continue performing top-class research. The Heisenberg Programme is directed primarily at those researchers who have qualified
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to mlcv at tu-dresden.de or to: TU Dresden, Chair of Machine Learning