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Field
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problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural
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problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural
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dynamic research environment. If you immediately recognise yourself in this profile, or if do you not quite meet all the requirements, but you believe that this is the right job for you, we look forward
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department is dedicated to encouraging a supportive and inclusive working culture. Our aim is that all job applicants are given equal opportunities. When we select candidates for employment, it will be
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experience and skills: master's degree/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding
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, mathematicians, computer scientists, linguists, musicologists, and cognitive scientists, who share a fascination with the interdisciplinary study of information. At the ILLC we combine the problem solving skills
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provide a comprehensive package of study programmes and research. In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves
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important question to solve, as DNA damage-stalled RNA polymerase causes bigger problems for the cells than the actual DNA damage itself. In this project we will use innovative single molecule imaging
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Your job Are you a highly motivated, curious researcher who is fascinated by the fundamental principles underlying evaporation of confined liquids and self-assembly at interfaces? Are you
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge