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robotic 3D printing. Optimize the digital twin for different manufacturing process parameters, printing methods and materials. Disseminate the results in peer-reviewed journals. More specifically, you
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development, particularly in LabVIEW, C++ and Python programming for high-precision measurement systems. As a key member of our team, you will lead the development and optimization of our high-speed
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will collaborate with leading scientists and industrial partners to design and optimize next-generation solvent systems for energy-efficient carbon capture processes. Your overall focus will be
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computationally efficient at simulating permanent magnet structures, and capable of leading to the globally optimal solution of the underlying design optimization problem. We aim to combine gradient-based
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manufacturing of next-generation stack components. In this project, we aim to develop, optimize, and test an innovative monolithic component that aims to substitute conventional porous transport layers (PTLs) and
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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in next-generation antibody engineering (bi-/multispecific and multimodal formats), phage display, gene-editing–based molecular and cellular glycoengineering, and optimized mammalian cell systems
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is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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the applicant and the Department of Ecoscience. The position concludes after 24 months. Job description The Department of Ecoscience, Aarhus University is looking for a post-doctoral researcher to optimize a