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-level insights. Your work will be essential to exploring large design spaces, predicting device behavior, and identify optimal parameters without the prohibitive cost of fabricating numerous physical
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. Optimization of veterinary antimicrobial use to minimize selection and spread of antimicrobial resistance. For more information, please check the OHAR homepage here . Your job You are a highly qualified
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, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated
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community. This position offers the opportunity to shape and optimize an integrated workflow spanning automated crystallization imaging through to finalized structural datasets. Key Responsibilities The role
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electromagnetic compatibility, converter reliability and testing, advanced control of power converters and drives, and system-level optimization of converter-dominated and energy-storage-integrated systems. Your
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this position). In the HistoLab, we support several research groups across CBMR. You will therefore work closely with PhD students, Postdoctoral researchers, and other scientists who perform histology-based
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acrosselectromagneticcompatibility,converterreliabilityandtesting,advanced control of power converters and drives, and system-level optimization of converter-dominated and energy-storage-integrated systems. Your work tasks As
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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. The professor is expected to develop the research area in neurorehabilitation technologies, including attracting PhD students, postdocs, and permanent staff, as well as strengthening collaborations with clinical
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with a total of 18 PhD stipends. The AI:INFRA Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Department of Materials and Production, the Faculty