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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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Job Description The Department of Civil and Mechanical Engineering at Technical University of Denmark (DTU) invites applications for the position of tenure track assistant or associate professor in
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processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
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development and teaching, and supervising students A PhD in control engineering, mechanical engineering, or a relevant engineering field with a focus on energy systems is required for this position. Experience
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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(SIGCOMM '19). Association for Computing Machinery, New York, NY, USA, 187–199. https://doi.org/10.1145/3341302.3342091 . [2] Chi Lin, Jianan Lin, Jie Xiong, Qiwei Wang, Lei Wang, Guowei Wu, Xin Fan, and
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- or nanoengineering, material science, mechanical engineering or similar. Experience with cleanroom fabrication processes or additive manufacturing is highly beneficial. You are expected to have a keen interest in