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magnetic components of the dynamo are to be simulated numerically. Your profile: Potential candidates (m/w/div) should hold a Masters or Diploma degree in Materials Science, Mechanical Engineering
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. While communication and social networks are thought to influence one another, the mechanisms underlying this interplay remain poorly understood. Using cutting edge bio-logging technology, this project
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or Mechanical Engineering – strong background in machine learning, deep learning and / or computer vision – good programming skills in Python (and C++) – basic knowledge of optics including concepts like PSF, MTF
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Your Job: The centrepiece of PEM-FCs is the polymer electrolyte membrane (PEM), which should provide sufficient ionic conductivity and mechanical stability. However, the state-of-the-art PEMs Nafion
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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the quantification of uncertainties in simulation models, particularly in the fields of aerodynamics and structural mechanics, which arise from the reduction of degrees of freedom in the model. The focus is on
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of the results What you bring to the table You are studying engineering, computer science, or a comparable technical degree program Interest in industry-related project work in application-oriented research
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? Join us at the Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine
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mechanical engineering, computer science, CES or a comparable subject Experience in technical drawing/CAD software and design of experiment (DoE) is helpful Skills in conceptual thinking are advantageous A
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thesis. What you bring to the table You are currently studying in a Master's program in Electrical Engineering, Mechanical Engineering, Materials Science, or a similar field. You have a good knowledge of