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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation
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The successful candidates should have the following qualifications: A PhD in Environmental Toxicology, Chemical Engineering, Environmental Chemistry, Materials Science, or closely related fields. Solid
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verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise MSc and PhD students. Optionally contribute to teaching and proposal preparation. Required qualifications: As a formal
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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positive and supportive team environment. You prefer to stay organized and take pride in completing your tasks in a thoughtful and structured way. As a formal qualification, you must hold a PhD degree (or
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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with academic and industry partners Disseminate results through publications and stakeholder engagement Your primary qualifications are: As a formal qualification, you must hold a PhD degree (or