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, Industrial Engineering, Computer Science, or Machine Learning. Solid experience with quantitative optimization methods, including (but not limited to) mathematical programming and stochastic dynamic
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out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences
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skilled in computational chemistry and data-driven approaches to develop new catalytic asymmetric reactions. World-leading industrial partners with a wide range of interests will provide advice on which
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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in education with self-regulation. A paradigm shift is required in the organization of the logistics operations of educational processes to achieve a...
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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negotiation skills Behavioural competencies Education A master’s degree in computer engineering, space system engineering, physics or another relevant subject is required for this post. Additional requirements
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An internship at CWI offers you the unique opportunity to work with leading researchers on the frontier of mathematics and computer science. CWI prides itself on having a stimulating and
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be carried out in collaboration with an ASML Berlin under the umbrella of the Industrial Focus Group XUV Optics at the university of Twente where a multidisciplinary research program on growth