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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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PhD students. Contributing to the teaching at the department to build your teaching portfolio for applying to academic positions. Participating actively in the research community, including attending
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qualification, you must hold a PhD degree (or equivalent). The successful candidate must moreover exhibit the following professional and personal qualifications: Strong background within machine learning learning
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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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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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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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and across disciplines within the Pioneer Center Land-CRAFT Contribute to development of teaching and PhD supervision activities in the Dept. of Agroecology or other departments at AU with which we
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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or more 2-year Postdoctoral positions (with possibility for a 1-year extension). The PostDoc will teach e.g. within project management, innovation management, and organization and contribute research time