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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent
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Klijn lab, both situated in the Department of Biotechnology at Delft University of Technology. The Hollmann lab has expertise on UPO-based reaction design and subsequent industrial application. The Klijn
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the department of Mechanical Engineering, as well as the departments of Electrical Engineering and Mathematics and Computer Science. You will have the chance to collaborate with ASML to apply the developed results
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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cloning; protein expression/purification. Enzyme engineering/evolution; analytical method development. Protein bioinformatics; computational (bio)chemistry. At this career stage it is unlikely that any
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and study in this innovative environment. Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science. Conditions of employment Doctoral candidates will
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designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the website of the Faculty of Technology
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quantum computer and an intrinsically safe quantum internet. We are creating the quantum future, and we believe that quantum technology will be a game changer in many social and economic sectors – including
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Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences. Conditions of employment Doctoral candidates will be offered a 4-year period of employment
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, chemistry, chemical engineering, computer science, or a related field. Experience in continuum solid mechanics. Experience with machine learning for scientific applications. Strong programming skills (e.g