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PhD students working on related topics, creating a highly interdisciplinary and supportive research environment in one of the largest cyber-deception groups in the world. Additionally, you will have
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for analysis and dynamic configuration. Publish results in high-impact venues. Collaborate with academic and industrial partners in Shift2SDV. Co-supervise MSc and PhD students. Optionally contribute to teaching
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systems. Responsibilities and qualifications You will be responsible for mathematical modelling of dyadic and group interaction data (e.g., using coupled oscillator models), working with movement
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-supervise MSc and PhD students. Optionally support teaching and proposal activities. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science
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disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees to PhDs and support continuing education, all rooted in these scientific disciplines
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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for candidates with strong backgrounds (preferably PhDs) within mechanical engineering, manufacturing engineering, materials science, applied mathematics or physics. Specific disciplines will involve heat transfer
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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. Have strong writing and oral communication skills. Are fluent in English. Expertise within gas fermentation should be documented with the PhD thesis and/or relevant publications in international journals
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environmental scientists/engineers to generate key indicators and eventually, building a database and open-source models to be executed by the global biotechnology community. One of the key aspects of this PhD