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investigating the fundamental response of quick clays using X-ray based experimental methods and fundamental modelling Experience in programming Merits: Understanding of the mechanics of colloid systems
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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fabricate demonstrators in our state-of-the-art Nanofabrication facility and perform experiments in the terahertz characterisation facility (Kollberg Laboratory ). As a PhD student, you are expected
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in a large project rather than on your own in a single project. The following experience will strengthen your application: Experience in energy storage, organic synthesis, or materials characterization
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include: Developing the model using open-source Python software Planning and conducting experiments Analysing teardown reports and experimental data Validating and improving the model Publishing results in
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degree in Materials Science, Chemistry, Chemical Engineering, or a related field • Solid experience in polymer processing and characterization, particularly of solution-processed conjugated polymers
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following experience will strengthen your application: Familiarity with blockchain systems We value a collaborative attitude and an interest in working both in teams and independently. Self-motivation
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disciplines Excellent written and spoken English Experience with optimal control theory and methods Contract terms The position is regarded as a full-time employment with a competitive monthly salary and full
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accepted. The following experience will strengthen your application: Familiarity with Federated Learning We value a collaborative attitude and an interest in working both in teams and independently. Self