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Field
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, xylem sap flow as well as soil, mycorrhizal and anatomical analyses. Your profile We are looking for a dynamic, reliable and highly motivated candidate with a Master's degree in Biology, Ecology, Forestry
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for the project as needed Be honest and reliable Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong and international
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possibilities for improving the performance of the connections, aiming at: reliable friction properties, oversizing of holes to achieve the desired ductility and preventing brittle modes by use of capacity design
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characteristics Honest, reliable and resilient Motivated and enthusiastic about research work Able to draw up goals and strive to reach them Able to complete started tasks Able to work both independently and in
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failure mechanisms. The performance of the developed methods will be evaluated using real operating data. In addition, it will be investigated how reliability and safety conditions can be taken into account
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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are unpredictable, e.g., unanticipated changes in the environment of the ACPS may cause a neural network to produce faulty outcomes that could endanger the safety of the system. To assure the safe and reliable
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uncertainty from environment perception and your own state estimation, and then integrating it into a newly developed trajectory and behavior planner. The goal is to enable safe, reliable and highly dynamic
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This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and
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international) scientific exchange -Loyal, reliable and committed team -Numerous opportunities for professional and interdisciplinary training (e.g. soft-skill seminars) -Modern working environment and