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form an important foundation for future cell-based therapies in patients with FVII deficiency. The research fellow is expected to contribute actively to experimental design, execution and troubleshooting
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, the project will explore new methods for representing system dependencies, designing realistic cyber scenarios, and evaluating cyber resilience through automated and scalable cyber range exercises. The project
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modelling and optimization techniques, this research aims to identify optimum design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize
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Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and processing data streams, with theories and methods for planning and
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to an obtained doctoral degree. Your immediate leader will be the group leader of AIT. Duties of the position Complete the doctoral education until obtaining a doctorate Plan and conduct empirical research in
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. The project will examine printing direction, post-curing, anisotropy, and layer-related defects in additively manufactured crowns. The project uses a staged design: protocol development and comparative wear
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, macroecology, remote sensing, landscape ecology, pollination, and landscape modelling, aimed at understanding the past, present and future of alpine and mountain environments worldwide. The precise research plan
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a strong motivation for the subject Analyze data, assess different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be
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. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations of these. Applicants